179 pubblicazioni classificate nel seguente modo:

REAL-TIME IMPLEMENTATION OF A LINEAR-PHASE OCTAVE GRAPHIC EQUALIZER
Proceedings of the International Conference on Digital Audio Effects, DAFx
Autore/i: Bruschi, V.; Nicolini, A.; Cecchi, S.; Valimaki, V.
Editore: DAFx
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper proposes a real-time implementation of a linear-phase octave graphic equalizer (GEQ), previously introduced by the same authors. The structure of the GEQ is based on interpolated finite impulse response (IFIR) filters and is derived from a single prototype FIR filter. The low computational cost and small latency make the presented GEQ suitable for real-time applications. In this work, the GEQ has been implemented as a plugin of a specific software, used for real-time tests. The performance of the equalizer has been evaluated through subjective tests, comparing it with a filterbank equalizer. For the tests, four standard equalization curves have been chosen. The experimental results show promising outcomes. The result is an accurate real-time-capable linear-phase GEQ with a reasonable latency.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/337875

An Innovative System for Driver Monitoring and Vehicle Sound Interaction
2024 IEEE International Workshop on Metrology for Automotive, MetroAutomotive 2024 - Proceedings
Autore/i: Generosi, A.; Bruschi, V.; Cecchi, S.; Dourou, N. A.; Montanari, R.; Mengoni, M.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: An important aspect of Advanced Driver-Assistance Systems is the real-time monitoring of the driver and the interaction with him/her. In this scenario, the proposed work is focused on the development of an innovative system capable of analyzing the driver’s state and interact with him/her in a innovative way. In particular, the driver monitoring is obtained through the implementation of a multimodal approach that exploits deep learning and data fusion techniques while the interaction is achieved through sound signals elaborated with digital signal processing algorithm for the creation of an immersive scenario.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/337874

REAL-TIME SYSTEM FOR SOUND ENHANCEMENT IN NOISY ENVIRONMENT
Proceedings of the International Conference on Digital Audio Effects, DAFx
Autore/i: Cecchi, S.; Bruschi, V.; Peretti, P.; Bettarelli, F.
Editore: DAFx
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The noise can affect the listening experience in many real-life situations involving loudspeakers as a playback device. A solution to reduce the effect of the noise is to employ headphones, but they can be annoying and not allowed on some occasions. In this context, a system for improving the audio perception and the intelligibility of sounds in a domestic noisy environment is introduced and a real-time implementation is proposed. The system comprises three main blocks: a noise estimation procedure based on an adaptive algorithm, an auditory spectral masking algorithm that estimates the music threshold capable of masking the noise source, and an FFT equalizer that is used to apply the estimated level. It has been developed on an embedded DSP board considering one microphone for the ambient noise analysis and two vibrating sound transducers for sound reproduction. Several experiments on simulated and real-world scenarios have been realized to prove the effectiveness of the proposed approach.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/337876

A Review on Head-Related Transfer Function Generation for Spatial Audio
APPLIED SCIENCES
Autore/i: Bruschi, V.; Grossi, L.; Dourou, N. A.; Quattrini, A.; Vancheri, A.; Leidi, T.; Cecchi, S.
Classificazione: 1 Contributo su Rivista
Abstract: A head-related transfer function (HRTF) is a mathematical model that describes the acoustic path between a sound source and a listener’s ear. Using binaural synthesis techniques, HRTFs play a crucial role in creating immersive audio experiences through headphones or loudspeakers, using binaural synthesis techniques. HRTF measurements can be conducted either with standardised mannequins or with in-ear microphones on real subjects. However, various challenges arise in, for example, individual differences in head shape, pinnae geometry, and torso dimensions, as well as in the extensive number of measurements required for optimal audio immersion. To address these issues, numerous methods have been developed to generate new HRTFs from existing data or through computer simulations. This review paper provides an overview of the current approaches and technologies for generating, adapting, and optimising HRTFs, with a focus on physical modelling, anthropometric techniques, machine learning methods, interpolation strategies, and their practical applications.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/339672

Lightweight UAV Propeller Fault Detection Through Audio Signals Measurements
Conference Record - IEEE Instrumentation and Measurement Technology Conference
Autore/i: Bruschi, V.; Cecchi, S.; Ciattaglia, G.; Iadarola, G.; Peruzzi, G.; Pozzebon, A.; Spinsante, S.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: With the advance of aerial technology, Unmanned Aerial Vehicles (UAV) are applied in many industrial and civil fields. As UAVs demonstrate their effectiveness in many contexts, their safety needs to be improved to avoid accidents and danger-ous situations. To this aim, the detection and the classification of occurred damages play a key role: once a fault is revealed, a countermeasure must be applied on time. To accomplish this, in this work a methodology based on the classification of audio signals emitted by the UAV is proposed to detect two different types of fault on a drone propeller. The classification technique is developed by exploiting audio signals acquired in a certified semi-anechoic chamber to ensure the traceability of audio measures. The lightweight Machine Learning (ML) architecture used is designed to be deployed on low cost embedded units, for future adoption on board a drone, and shows very interesting results: a mild fault on a propeller is correctly classified with an accuracy higher than 81% by the quantised ML model, with just a 486.0 ms execution time on the target, low-cost, microcontroller.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/336415

An Experimentation to Measure the Influence of Music on Emotions
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Autore/i: Generosi, A.; Caresana, F.; Dourou, N.; Bruschi, V.; Cecchi, S.; Mengoni, M.
Editore: Springer Science and Business Media Deutschland GmbH
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Several emotion-adaptive systems frameworks have been proposed to enable listeners’ emotional regulation through music reproduction. However, the majority of these frameworks has been implemented only under in-Lab or in-car conditions, in the second case focusing on improving driving performance. Therefore, to the authors’ best knowledge, no research has been conducted for mobility settings, such as trains, planes, yacht, etc. Focusing on this aspect, the proposed approach reports the results obtained from the study of relationship between listener’s induced emotion and music reproduction exploiting an advanced audio system and an innovative technology for face expressions’ recognition. Starting from an experiment in a university lab scenario, with 15 listeners, and a yacht cabin scenario, with 11 listeners, participants’ emotional variability has been deeply investigated reproducing 4 audio enhanced music tracks, to evaluate the listeners’ emotional “sensitivity” to music stimuli. The experimental results indicated that, during the reproduction in the university lab, listeners’ “happiness” and “anger” states were highly affected by the music stimuli and highlighted a possible relationship between music and listeners’ compound emotions. Furthermore, listeners’ emotional engagement was proven to be more affected by music stimuli in the yacht cabin, rather than the university lab.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/322171

Skin Conductance Under Acoustic Stimulation: Analysis by a Portable Device
IoT Technologies for HealthCare. HealthyIoT 2022
Autore/i: Bruschi, Valeria; Dourou, Nefeli; Iadarola, Grazia; Poli, Angelica; Spinsante, Susanna; Cecchi, Stefania
Editore: Springer, Cham
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Skin Conductance (SC) variations, or, alternatively, changes of the human skin resistance known as Galvanic Skin Response (GSR), allow to detect the physiological reactions of a subject to different stimuli, either physical, or emotional and cognitive. This paper presents the analysis of SC variations under acoustic stimulation, performed by using a low-cost portable device designed for experimental use, able to acquire the human skin resistance values, which can be easily converted into SC ones. Preliminary findings, despite not generalizable because of the small set of participants involved in experiments, suggest that the reaction to sounds perceived as not pleasant is quite clear to identify, while further investigations are needed for acoustic stimuli classified as pleasant.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/312569

Introducing Stochastic Functional Link Polynomial Filters
European Signal Processing Conference
Autore/i: Orcioni, S.; Carini, A.; Cecchi, S.; Conti, M.
Editore: European Signal Processing Conference, EUSIPCO
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The class of Functional Link Polynomials (FLiP) filters is very broad and includes many popular nonlinear filters, as the well-known Volterra and the Wiener nonlinear filters. They are linear in the parameters and can approximate arbitrarily well any discrete-time, time invariant, finite memory, continuous nonlinear system. This work extends the approximation capability of FLiP filters to systems that together with the previous properties have random parameters. This is achieved by extending the FLiP representation to random coefficients and applying the Kosambi-Karhunen-Loève theorem to the coefficients.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325841

Comparative Analysis of HRTFs Measurement Using In-Ear Microphones
SENSORS
Autore/i: Bruschi, V.; Terenzi, A.; Dourou, N. A.; Spinsante, S.; Cecchi, S.
Classificazione: 1 Contributo su Rivista
Abstract: The head-related transfer functions (HRTFs) describe the acoustic path transfer functions between sound sources in the free-field and the listener’s ear canal. They enable the evaluation of the sound perception of a human being and the creation of immersive virtual acoustic environments that can be reproduced over headphones or loudspeakers. HRTFs are strongly individual and they can be measured by in-ear microphones worn by real subjects. However, standardized HRTFs can also be measured using artificial head simulators which standardize the body dimensions. In this paper, a comparative analysis of HRTF measurement using in-ear microphones is presented. The results obtained with in-ear microphones are compared with the HRTFs measured with a standard head and torso simulator, investigating different positions of the microphones and of the sound source and employing two different types of microphones. Finally, the HRTFs of five real subjects are measured and compared with the ones measured by the microphones in the ear of a standard mannequin.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/322172

Crossover Networks: A Review
AES
Autore/i: Cecchi, Stefania; Bruschi, Valeria; Nobili, Stefano; Terenzi, Alessandro; Välimäki, Vesa
Classificazione: 1 Contributo su Rivista
Abstract: Crossover networks for multi-way loudspeaker systems and audio processing are reviewed, including both analog and digital designs.Ahigh-quality crossover network must maintain a flat overall magnitude response, within small tolerances, and a sufficiently linear phase response. Simultaneously, the crossover filters for each band must provide a steep transition to properly separate the bands, also accounting for the frequency ranges of the drivers. Furthermore, crossover filters affect the polar response of the loudspeaker, which should vary smoothly and symmetrically in the listening window. The crossover filters should additionally be economical to implement and not cause much latency. Perceptual aspects and the inclusion of equalization in the crossover network are discussed. Various applications of crossover filters in audio engineering are explained, such as in multiband compressors and in effects processing. Several methods are compared in terms of the basic requirements and computational cost. The results lead to the recommendation of an all-pass-filter--based Linkwitz-Riley crossover network, when a computationally efficient minimum-phase solution is desired. When a linear-phase crossover network is selected, the throughput delay becomes larger than with minimum-phase filters. Digital linear-phase crossover filters having a finite impulse response may be designed by optimization and implemented efficiently using a complementary structure.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/322173

Perceptual Study of a Low-Computational Linear-Phase Digital Crossover Network
AES Europe 2023: 154th Audio Engineering Society Convention
Autore/i: Bruschi, V.; Dourou, N.; Nobili, S.; Cecchi, S.
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In the digital audio processing field, crossover networks play an essential rule, and they are employed in several applications. Although the literature does not offer many perceptual analysis, the perceptual evaluation of a crossover network is important to investigate audible errors that may arise during the reproduction. In this context, this paper presents a perceptual study of a linear-phase digital crossover network previously developed by the same authors. The proposed crossover exploits interpolated finite impulse response (IFIR) filters, which guarantee a linear phase response. Subjective experiments have been carried out to perceptually evaluate the proposed crossover in comparison with the well-known Linkwitz-Riley infinite impulse response (IIR) crossover network.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325035

A New Method for HRTFs Interpolation based on Inverse Distance Weighting
AES Europe 2023: 154th Audio Engineering Society Convention
Autore/i: Bruschi, V.; Dourou, N.; Nobili, S.; Cecchi, S.
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Head-related transfer functions (HRTFs) are widely used in immersive audio rendering since they contain the localization cues and spectral features essential for the synthesis of moving sound sources. In this context, HRTF interpolation is an important technique that may be used with the purpose of reducing the HRTF measurement points without affecting the spatialization effect. In this paper, inverse distance weighting (IDW) interpolation is exploited to improve a previous interpolation algorithm based on linear interpolation. The IDW interpolation introduces an extra tunable parameter that allows obtaining interpolated HRTFs more similar to the measured ones. Several experiments have been carried out to prove the effectiveness of the IDW method, in comparison with the linear interpolation applied to HRTFs.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325034

A New HRTF Interpolation Approach for Nonlinear 3D Audio Systems
2023 Immersive and 3D Audio: from Architecture to Automotive, I3DA 2023
Autore/i: Bruschi, V.; Dourou, N.; Carini, A.; Cecchi, S.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Binaural synthesis plays a vital role in 3D audio systems, relying on head-related transfer functions (HRTFs) to achieve realistic sound rendering. However, the reproduction system used in the HRTF measurement can introduce nonlinearities that impact the immersive experience. In light of this, the present study introduces a robust HRTF identification method designed to address these nonlinearities. Additionally, a novel HRTF interpolation technique is proposed, aiming at reducing the required number of measurement points while still ensuring faithful reproduction of the virtual auditory scene. Specifically, the interpolation is applied following a frequency warping process, which enhances the representation of lower frequencies within the HRTFs while simultaneously reducing the number of frequency bins. The resulting interpolated HRTFs are then unwrapped and utilized for binaural reproduction, contributing to an improved audio experience.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325032

The Effect of Immersive Audio Rendering on Listeners' Emotional State
2023 Immersive and 3D Audio: from Architecture to Automotive, I3DA 2023
Autore/i: Dourou, N.; Bruschi, V.; Generosi, A.; Mengoni, M.; Cecchi, S.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Immersive audio rendering techniques allow for generating a 3D scenario where the listener can perceive the sound from all directions. An important aspect of these approaches is the subjective perception of the listener and how these types of systems are perceived from the emotional point of view and how they can influence the listener's mood. In this context, a deep investigation of immersive sound perception considering subjective perception in terms of flowing emotion is performed. Starting from a 4-channels immersive audio system and an emotion-aware system based on the analysis of the user's facial expressions, several experiments have been performed to investigate a correlation between immersive perception and the listener's emotions.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325031

HRTFs Measurement Based on Periodic Sequences Robust towards Nonlinearities in Automotive Audio †
SENSORS
Autore/i: Cecchi, S.; Bruschi, V.; Nobili, S.; Terenzi, A.; Carini, A.
Classificazione: 1 Contributo su Rivista
Abstract: The head related transfer functions (HRTFs) represent the acoustic path transfer functions between sound sources in 3D space and the listener’s ear. They are used to create immersive audio scenarios or to subjectively evaluate sound systems according to a human-centric point of view. Cars are nowadays the most popular audio listening environment and the use of HRTFs in automotive audio has recently attracted the attention of researchers. In this context, the paper proposes a measurement method for HRTFs based on perfect or orthogonal periodic sequences. The proposed measurement method ensures robustness towards the nonlinearities that may affect the measurement system. The experimental results considering both an emulated scenario and real measurements in a controlled environment illustrate the effectiveness of the approach and compare the proposed method with other popular approaches.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/312808

Low-cost monitoring for stimulus detection in skin conductance
ACTA IMEKO
Autore/i: Iadarola, Grazia; Bruschi, Valeria; Cecchi, Stefania; Dourou, Nefeli Aikaterini; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: Not so many consumer devices are available for minimally invasive monitoring of Skin Conductance (SC), differently from what happens for other physiological signals. In this paper, a low-cost monitoring system for SC signals is presented. For comparison purposes, the SC signals are simultaneously acquired by the low-cost monitoring system and by a ProComp Infiniti desk equipment. The paper shows that, despite the simpler design and hardware limitations exhibited by the low-cost system, the collected SC signals provide the same relevant information for stimulus detection of the SC signals acquired by a much more expensive acquisition board. Specifically, the comparison is fulfilled through the ability of the low-cost monitoring system in detecting the increase of both SC baseline and peaks after stimulation.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/320752

Joint Detection and Active Cancellation of Snoring Signals in Real-Time
Proceedings of the 4th International Symposium on the Internet of Sounds, 2023
Autore/i: Serafini, Luca; Bruschi, Valeria; Nobili, Stefano; Principi, Emanuele; Cecchi, Stefania; Squartini, Stefano
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Snoring noise can be extremely annoying and troublesome, thus influencing people’s social lives. Active noise control (ANC) systems can be implemented to reduce unwanted snoring noise, improving people’s sleep quality, especially because ANC techniques are more suitable than passive solutions for low-frequency signals, like the snoring signal. However, the intermittent nature of snoring noise may affect the ANC performance. In this context, snoring activity detection (SAD) techniques can be applied to recognize the presence of snoring and accordingly activate the ANC system. The present work proposes a low-latency system based on deep learning for the detection of the snoring activity, combined with an active snoring cancellation (ASC) approach, which uses a delayless subband structure, for real-time applications. Experimental results have been obtained by evaluating the performance of the SAD algorithm, comparing two neural network-based solutions. Finally, the ASC system has been tested with and without the preliminary SAD stage, proving the advantage of using the SAD and ASC algorithms in a joint fashion.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325072

An Enhanced System for the Detection and Active Cancellation of Snoring Signals
IEEE International Workshop on Machine Learning for Signal Processing, MLSP
Autore/i: Bruschi, V.; Cantarini, M.; Serafini, L.; Nobili, S.; Cecchi, S.; Squartini, S.
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Snoring is a common disorder that affects people's social and marital lives. The annoyance caused by snoring can be partially solved with active noise control systems. In this context, the present work aims at introducing an enhanced system based on the use of a convolutional recurrent neural network for snoring activity detection and a delayless subband approach for active snoring cancellation. Thanks to several experiments conducted using real snoring signals, this work shows that the active snoring cancellation system achieves better performance when the snoring activity detection stage is turned on, demonstrating the beneficial effect of a preliminary snoring detection stage in the perspective of snoring cancellation.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325033

Linear-Phase Octave Graphic Equalizer
AES
Autore/i: Bruschi, Valeria; Välimäki, Vesa; Liski, Juho; Cecchi, Stefania
Classificazione: 1 Contributo su Rivista
Abstract: A computationally efficient octave-band graphic equalizer having a linear-phase response is introduced. The linear-phase graphic equalizer is useful in audio applications in which phase distortion is not tolerated, such as in multichannel equalization, parallel processing, phase compatibility of audio equipment, and crossover network design. The structure is based on the interpolated finite impulse response (IFIR) philosophy. The proposed octave-band graphic equalizer uses one prototype low-pass filter, which is a half-band FIR filter designed using the window method. Stretched versions of the prototype filter and its complementary high-pass filter implement all ten band filters needed. The graphic equalizer is realized in the parallel form, in which the outputs of all band filters, scaled with their individual command gain, are added to compute the equalized output signal. The command gains can be used directly as filter band gains. The number of operations needed per sample is only slightly more than that needed for the graphic equalizer based on minimum-phase recursive filters. A comparison with other implementation approaches demonstrates that the proposed structure requires 99% fewer operations than a high-order FIR filter. The proposed filter uses 39% fewer operations per sample than the fast Fourier transform--based filtering method and causes over 78% less latency.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/311350

An Improved Approach for Binaural Room Impulse Responses Interpolation in Real Environments
AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
Autore/i: Bruschi, V.; Nobili, S.; Terenzi, A.; Cecchi, S.
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The interpolation of binaural room impulse responses (BRIRs) is a very common technique in the field of immersive audio rendering because it aims at reducing the responses measurements guaranteeing a correct sound spatialization. These approaches are usually based on the interpolation of the responses starting from the division in early reflections and reverberant tail considering a fixed arbitrary mixing time. However, this aspect could influence the interpolation methodology when real BRIRs are considered. In this paper, a state-of-the-art interpolation algorithm is improved adding an automatic procedure for the calculation of the exact mixing time and applied it to a set of BRIRs, measured in a real reverberant environment. Several experiments have proved the effectiveness of the proposed approach.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/305940

Using Periodic Sequences for HRTFs Measurement Robust Towards Nonlinearities in Automotive Audio Applications
2022 IEEE International Workshop on Metrology for Automotive, MetroAutomotive 2022 - Proceedings
Autore/i: Cecchi, S.; Bruschi, V.; Nobili, S.; Terenzi, A.; Carini, A.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Head Related Transfer Functions (HRTFs) are a mathematical representation of the acoustic transfer functions between a sound source and the listener's ears. They play an important role for both creating immersive audio scenarios and evaluating the perception of a sound system from human being point of view. These applications are also important for automotive scenario, since the car is nowadays the most used audio listening environment. Automotive audio has been attracting a great deal of attention in recent years as well as the use of HRTFs inside the car for creating these immersive scenarios. In this context, we proposed a technique for HRTFs measurement based on perfect or orthogonal periodic sequences that allows an effective measurement robust towards system nonlinearities. Experiments with an emulated scenario and measurements performed in real environments illustrate the validity of the approach in comparison with other competing HRTFs measurement methods of the state of the art.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/305939

IoT-Enabled Analysis of Subjective Sound Quality Perception Based on Out-of-Lab Physiological Measurements
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Autore/i: Dourou, N.; Poli, A.; Terenzi, A.; Cecchi, S.; Spinsante, S.
Editore: Springer Science and Business Media Deutschland GmbH
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Sound systems are usually evaluated by means of subjective listening tests that allow to analyze the sound perception from the listener’s point of view. In several situations and domains, listening tests can be expensive and complex to arrange, and different variables may influence their reliability, such as ambiguous terminology or contextual biases. To help mitigate these aspects, an analysis of subjective sound quality perception enabled by an Internet of Things - based approach is presented in this paper, exploiting the out-of-lab measurement of physiological parameters by means of a wearable device. In particular, a possible correlation between the subjective assessment of perceived sound quality and the variations of the Inter Beat Interval (IBI) in the cardiac activity of the listeners is analyzed, reporting the measurements performed by a wrist-worn device.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298338

Comparison of Feature Extraction Methods for Sound-Based Classification of Honey Bee Activity
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING
Autore/i: Terenzi, A.; Ortolani, N.; Nolasco, I.; Benetos, E.; Cecchi, S.
Classificazione: 1 Contributo su Rivista
Abstract: Honey bees are one of the most important insects on the planet since they play a key role in the pollination services of both cultivated and spontaneous flora. Recent years have seen an increase in bee mortality which points out the necessity of intensive beehive monitoring in order to better understand this phenomenon and try to help these important insects. In this scenario, this work presents an algorithm for sound-based classification of honey bee activity reporting a preliminary comparison between various extracted features used separately as input to a convolutional neural network classifier. In particular, the orphaned colony situation has been considered using a dataset acquired in a real situation. Different experiments with different setups have been carried out in order to test the performance of the proposed system, and the results have confirmed its potentiality.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298339

Using Interpolated FIR Technique for Digital Crossover Filters Design
European Signal Processing Conference
Autore/i: Bruschi, V.; Nobili, S.; Terenzi, A.; Cecchi, S.
Editore: European Signal Processing Conference, EUSIPCO
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Digital filters design is an important aspect of the audio processing. They are used in several applications and the key point is not only the achieved final audio quality but also their computational complexity. In this context, the use of Interpolated Finite Impulse Response (IFIR) filters is proposed for the optimized implementation of a digital crossover network. In particular, the structure can be viewed as an analysis filter-bank that can be optimized introducing IFIR filters that allow to reach very narrow transition bands, with low computational complexity and linear phase, avoiding ripple between adjacent bands. Starting from a real-time implementation of the proposed crossover network, several experiments have been conducted to prove the effectiveness of the proposed approach in terms of computational complexity and obtained audio quality.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/307981

The Influence of Listeners’ Mood on Equalization-Based Listening Experience
ACOUSTICS
Autore/i: Dourou, N.; Bruschi, V.; Spinsante, S.; Cecchi, S.
Classificazione: 1 Contributo su Rivista
Abstract: Using equalization to improve sound listening experience is a well-established topic among the audio society. Finding a general equalization curve is a difficult task because of spectral content influenced by the reproduction system (loudspeakers and room environment) and personal preference diversity. Listeners’ mood is said to be a factor that affects the individual equalization preference. In this study, the effect of a listener’s mood on equalization preference is tried to be investigated. Starting from an experiment with fifty-two listeners, considering five predefined equalization curves and a database of ten music excerpts, the relationship between listeners’ mood and preferred sound equalization has been studied. The main findings of this study showed that the “High-frequency boosting” equalization was the most preferred among participants. However, the “High-frequency boosting” preference of low-aroused people was slightly lower than the high aroused listeners, increasing the preference of the “Low-frequency boosting”.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/307101

A LOW-LATENCY QUASI-LINEAR-PHASE OCTAVE GRAPHIC EQUALIZER
Proceedings of the International Conference on Digital Audio Effects, DAFx
Autore/i: Bruschi, V.; Valimaki, V.; Liski, J.; Cecchi, S.
Editore: DAFx
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper proposes a low-latency quasi-linear-phase octave graphic equalizer. The structure is derived from a recent linear-phase graphic equalizer based on interpolated finite impulse response (IFIR) filters. The proposed system reduces the total latency of the previous equalizer by implementing a hybrid structure. An infinite impulse response (IIR) shelving filter is used in the structure to implement the first band of the equalizer, whereas the rest of the band filters are realized with the linear-phase FIR structure. The introduction of the IIR filter causes a nonlinear phase response in the low frequencies, but the total latency is reduced by 50% in comparison to the linear-phase equalizer. The proposed graphic equalizer is useful in real-time audio processing, where only little latency is tolerated.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/306961

Sensors Characterization for a Calibration-Free Connected Smart Insole for Healthy Ageing
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Autore/i: Gioacchini, L.; Poli, A.; Cecchi, S.; Spinsante, S.
Editore: Springer Science and Business Media Deutschland GmbH
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The design of technological aids to assist older adults in their ageing process and to ensure proper attendance and care, despite the decreasing percentage of young people in the demographic profiles of many developed countries, requires the proper selection of sensing components, in order to come up with devices that can be easily used and integrated into everyday life. This paper addresses the metrological characterization of pressure sensors to be inserted into smart insoles aimed at monitoring the older adult’s physical activity levels. Two types of sensing elements are evaluated and a recommendation provided, based on the main requirement of designing a calibration-free insole: in this case, the pressure sensor should act as a switch, and the FSR 402 Short sensing element appears to be the proper solution to adopt.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298342

A variable step-size for sparse nonlinear adaptive filters
European Signal Processing Conference
Autore/i: Carini, A.; Lima, M. V. S.; Yazdanpanah, H.; Orcioni, S.; Cecchi, S.
Editore: European Signal Processing Conference, EUSIPCO
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The paper deals with the identification of nonlinear systems with adaptive filters. In particular, adaptive filters for functional link polynomial (FLiP) filters, a broad class of linear-in-the-parameters (LIP) nonlinear filters, are considered. FLiP filters include many popular LIP filters, as the Volterra filters, the Wiener nonlinear filters, and many others. Given the large number of coefficients of these filters modeling real systems, especially for high orders, the solution is often very sparse. Thus, an adaptive filter exploiting sparsity is considered, the improved proportionate NLMS algorithm (IPNLMS), and an optimal step-size is obtained for the filter. The optimal step-size alters the characteristics of the IPNLMS algorithm and provides a novel gradient descent adaptive filter. Simulation results involving the identification of a real nonlinear device illustrate the achievable performance in comparison with competing similar approaches.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/287119

An Efficient Active Noise Control System with Online Secondary Path Estimation for Snoring Reduction
European Signal Processing Conference
Autore/i: Nobili, S.; Bruschi, V.; Bettarelli, F.; Cecchi, S.
Editore: European Signal Processing Conference, EUSIPCO
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper presents a new active noise control (ANC) technique with online secondary path estimation and subband adaptive filtering (SAF) for snoring reduction. In particular, the combination with the SAF structure allows to obtain a better estimation of the primary path and also has an impact on the algorithm performance, especially in terms of convergence rate. Although the SAF technique is applied only in the primary path estimation, it improves also the performance of the secondary path estimation guaranteeing a better convergence rate. The proposed algorithm has been first validated using white noise and then tested considering snoring signals. The experimental results have confirmed its effectiveness in comparison with the state of the art.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298332

Preliminary Results of IoT-Enabled EDA-Based Analysis of Physiological Response to Acoustic Stimuli
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Autore/i: Poli, A.; Brocanelli, A.; Cecchi, S.; Orcioni, S.; Spinsante, S.
Editore: Springer Science and Business Media Deutschland GmbH
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Emotions play a key role in everyday life of human beings, and since several years, researchers have investigated the physiological changes caused by external stimuli, looking for methods to automatically classify the emotional involvement of individuals. The Galvanic Skin Response, or ElectroDermal Activity, is one of the most interesting signals used in emotion research. In this preliminary study, a few participants were submitted to auditory stimuli (i.e., pleasant, neutral and unpleasant sounds) and their skin conductance signals were measured by means of a wireless and IoT-enabled wearable device, the Empatica E4. To investigate the impact of the emotional stimuli, data measured as emotion elicitation and retrieved from the Empatica cloud platform, was analysed in the time domain, showing that pleasant and neutral sounds do not produce evident effects, while listening to an unpleasant sound increases the subjective response, with higher impact when the sound duration is shorter. The preliminary outcomes obtained confirm great intra- and inter-subject variability that deserves further investigation, by involving a bigger population of test users.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298341

Listener-position sub-band adaptive crosstalk canceller using hrtfs interpolation for immersive audio systems
150th Audio Engineering Society Convention, AES 2021
Autore/i: Bruschi, V.; Nobili, S.; Bettarelli, F.; Cecchi, S.
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The crosstalk is an undesired phenomenon that occurs in immersive systems when the sound is reproduced over two loudspeakers. In this paper, an innovative sub-band adaptive crosstalk canceller considering the listener position is proposed. Starting from a reduced set of measured head related impulse responses (HRTFs), the proposed system is composed of three parts: A listener position tracker, an HRTFs interpolation algorithm and a sub-band adaptive crosstalk canceller. In particular, the head tracking allows to obtain the listener position and the interpolator is applied to interpolate the HRTFs related to positions different from measurement points. The effectiveness of the proposed approach has been confirmed through several real-world experimental tests.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298330

A preliminary study on the correlation between subjective sound quality perception and physiological parameters
150th Audio Engineering Society Convention, AES 2021
Autore/i: Poli, A.; Cecchi, S.; Spinsante, S.; Terenzi, A.; Bettarelli, F.
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Subjective listening tests are an important method to evaluate the performance of audio algorithms and of sound reproduction systems. However, listening tests are a costly and complex task whose reliability can be affected by several nuisance variables such as lexicon ambiguity and contextual biases. To help mitigate these aspects, a preliminary investigation on the effects of audio perception on physiological parameters is presented in this paper. In particular, the correlation between the subjective assessment of perceived sound quality and the affective reaction elicited by specific sound stimuli is analyzed and reported.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298329

A Low-Complexity Linear-Phase Graphic Audio Equalizer Based on IFIR Filters
IEEE SIGNAL PROCESSING LETTERS
Autore/i: Bruschi, V.; Nobili, S.; Terenzi, A.; Cecchi, S.
Classificazione: 1 Contributo su Rivista
Abstract: Digital audio equalization is a very common procedure in the acoustic field that allows to improve the listening experience by adjusting the auditory frequency response. The design of graphic equalizers introduces several problems related to the necessity of implementing high performing filters with linear phase, usually characterized by high computational complexity. This paper proposes an innovative linear-phase graphic equalizer based on interpolated finite impulse response (IFIR) filters. IFIR filters seem to be suitable for a graphic equalizer thanks to their properties. In fact, they can reach very narrow transition bands, however with low computational complexity and linear phase, avoiding ripple between adjacent bands. The proposed IFIR equalizer has been compared with some state-of-the-art methods in terms of frequency response, distortion and computational cost. The experimental results have proved the effectiveness of the proposed equalizer, that has shown a considerable reduction on the computational complexity, meanwhile preserving the performances in terms of audio quality.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/290856

Real Time Binaural Synthesis of Moving Sound Sources over Loudspeakers
2021 Immersive and 3D Audio: From Architecture to Automotive, I3DA 2021
Autore/i: Bruschi, V.; Nobili, S.; Cecchi, S.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Immersive audio systems have been achieving increasing interest in the field of sound synthesis. These systems can reproduce enhanced perceived acoustic images, obtaining a better sound quality than the classical stereo reproduction. In this paper, a real time implementation of binaural reproduction over loudspeakers is proposed considering moving sound sources. The proposed system is based on an efficient 3D head related impulse responses (HRIRs) interpolation that allows to generate a moving sound source and a recursive algorithm for the crosstalk elimination to obtain a performing reproduction over loudspeakers. To achieve the HRIRs interpolation, the impulse responses are decomposed in time into early reflections and reverberant tail and the first part is then divided into two frequency bands. A peak detection and matching algorithm is reserved for the high-frequency part of the HRIRs and combined with an alignment algorithm before a linear interpolation. The other portions of the HRIRs are simply linearly interpolated and the resulting interpolated HRIR is obtained by the concatenation of early reflections and reverberant tail. Therefore, the input signal is filtered with the interpolated HRIRs and then a crosstalk elimination algorithm, called Recursive Ambiophonic Crosstalk Elimination (RACE), is applied. RACE allows to eliminate the crosstalk starting from the listener-loudspeaker distance, the distance between loudspeakers and the listener head radius and is based on an appropriate inversion, attenuation and delay of the undesired signal. The proposed system has been evaluated through several experimental tests that have confirmed its effectiveness in comparison with the state of the art.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298333

A subband implementation of a multichannel and multiple position adaptive room response equalizer
APPLIED ACOUSTICS
Autore/i: Cecchi, S.; Terenzi, A.; Bruschi, V.; Carini, A.; Orcioni, S.
Classificazione: 1 Contributo su Rivista
Abstract: This paper deals with a subband implementation of an adaptive multichannel and multiple position room response equalization system capable of improving the listening experience in a real environment. The main focus of the approach is the introduction of a subband identification procedure capable of estimating in real-time the magnitude responses of a system with a great accuracy and a quick convergence. These aspects are very important also for the equalization procedure to obtain a good accuracy and quick development of the equalization filters as function of the environment variations. Several experiments have been performed in a real scenario to test the performance of the algorithm and to show the beneficial effects of the subband identification on the equalization procedure.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/287121

A Room Impulse Response Measurement Method Robust Towards Nonlinearities Based on Orthogonal Periodic Sequences
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING
Autore/i: Carini, A.; Cecchi, S.; Terenzi, A.; Orcioni, S.
Classificazione: 1 Contributo su Rivista
Abstract: An open problem in room impulse response (RIR) measurement is the effect of nonlinearities, especially those with memory, present in the measurement system, specifically in the power amplifier and in the loudspeaker. The nonlinearities can corrupt the measurement introducing artifacts. The paper discusses a RIR measurement method that is robust towards these nonlinearities. The proposed methodology allows measuring the RIR using the cross-correlation method, i.e., computing the cross-correlation between the output signal and an appropriate sequence. In contrast to other cross-correlation based methods, the proposed approach directly estimates the first-order kernel of the Volterra filter modeling the measurement systems, i.e., the system impulse response for small signals. The proposed approach exploits the concepts of orthogonal periodic sequences, recently proposed in the literature. The input signal can be any periodic persistently exciting sequence and can also be a quantized sequence. Measurements performed both on an emulated scenario and in real environments illustrate the validity of the approach and compare it with other competing RIR measurement methods.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/297065

A real time subband implementation of an active noise control system for snoring reduction
International Symposium on Image and Signal Processing and Analysis, ISPA
Autore/i: Nobili, S.; Bruschi, V.; Bettarelli, F.; Cecchi, S.
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In this paper, a real time implementation of an active noise control (ANC) system for snoring cancellation is presented. This method is based on an online secondary path estimation procedure and includes a subband adaptive filtering (SAF) structure for the primary path estimation. The introduction of the SAF approach allows to improve the performances on the estimation of both primary and secondary path in terms of convergence rate. The algorithm has been compared with the state of the art through several experiments that have proved the effectiveness of the proposed system in real applications.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298335

A Swept-Sine-Type Single Measurement to Estimate Intermodulation Distortion in a Dynamic Range of Audio Signal Amplitudes
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Autore/i: Burrascano, P.; Terenzi, A.; Cecchi, S.; Ciuffetti, M.; Spinsante, S.
Classificazione: 1 Contributo su Rivista
Abstract: In the world of real audio systems, it is extremely important to model and identify their nonlinear behavior, especially in the case of professional audio devices. In this context, it is useful to have a quantitative estimation of the nonlinearity degree of the device, which can be obtained by exploiting an efficient and rapid measurement methodology. In this article, we propose an original estimation technique targeting the third-order intermodulation distortion (IMD) and based on a single detection. The proposed technique can be implemented both on devices operating in baseband and in bandpass. Starting from the same single detection, the technique allows to give either an estimate of the third-order IMD for the signal level actually used and to extrapolate the estimate of the IMD to signal levels different from the one actually used. Experimental verifications on real audio devices have allowed to validate the procedure in operational situations, thus confirming the validity of the proposed approach.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/290855

A real-time implementation of a 3D binaural system based on HRIRs interpolation
International Symposium on Image and Signal Processing and Analysis, ISPA
Autore/i: Bruschi, V.; Nobili, S.; Cecchi, S.
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Binaural synthesis is a very important aspect in the field of immersive audio and it requires the knowledge of the head related impulse responses (HRIRs). This paper describes the real-time implementation of an impulse responses interpolation method that allows to obtain an accurate binaural reproduction reducing measurement sets. The method is based on the time decomposition and frequency division of the HRIRs and the application of a peak detection and matching procedure in combination with an alignment algorithm and a linear interpolation. A 3D set-up has been considered and the algorithm has been evaluated by means of objective and subjective tests, comparing it with the state of the art. The obtained results have demonstrated the excellent performance of the proposed system.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298336

An innovative method for binaural room impulse responses interpolation
148th Audio Engineering Society International Convention
Autore/i: Bruschi, V.; Nobili, S.; Cecchi, S.; Piazza, F.
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The interpolation of room acoustic impulse responses is a widespread technique that allows to reduce measurement sets. In this paper, an innovative method for Binaural Room Impulse Responses (BRIRs) interpolation is presented and tested. In the proposed method, the BRIRs are decomposed in time and then divided in two frequency bands and an innovative peak detection and matching algorithm is applied for the early reflections, combined with a linear interpolation. A real room binaural impulse responses database has been employed in order to evaluate the algorithm comparing it with the state of the art. Experimental results have proved the effectiveness of the proposed approach.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298322

On the importance of the sound emitted by honey bee hives
VETERINARY SCIENCES
Autore/i: Terenzi, Alessandro; Cecchi, Stefania; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: Recent years have seen a worsening in the decline of honey bees (Apis mellifera L.) colonies. This phenomenon has sparked a great amount of attention regarding the need for intense bee hive monitoring, in order to identify possible causes, and design corresponding countermeasures. Honey bees have a key role in pollination services of both cultivated and spontaneous flora, and the increase in bee mortality could lead to an ecological and economical damage. Despite many smart monitoring systems for honey bees and bee hives, relying on different sensors and measured quantities, have been proposed over the years, the most promising ones are based on sound analysis. Sounds are used by the bees to communicate within the hive, and their analysis can reveal useful information to understand the colony health status and to detect sudden variations, just by using a simple microphone and an acquisition system. The work here presented aims to provide a review of the most interesting approaches proposed over the years for honey bees sound analysis and the type of knowledge about bees that can be extracted from sounds.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/285073

Robust room impulse response measurement using perfect periodic sequences for wiener nonlinear filters
ELECTRONICS
Autore/i: Carini, A.; Cecchi, S.; Orcioni, S.
Classificazione: 1 Contributo su Rivista
Abstract: The paper discusses a measurement approach for the room impulse response (RIR), which is insensitive to the nonlinearities that affect the measurement instruments. The approach employs as measurement signals the perfect periodic sequences for Wiener nonlinear (WN) filters. Perfect periodic sequences (PPSs) are periodic sequences that guarantee the perfect orthogonality of a filter basis functions over a period. The PPSs for WN filters are appealing for RIR measurement, since their sample distribution is almost Gaussian and provides a low excitation to the highest amplitudes. RIR measurement using PPSs for WN filters is studied and its advantages and limitations are discussed. The derivation of PPSs for WN filters suitable for RIR measurement is detailed. Limitations in the identification given by the underestimation of RIR memory, order of nonlinearity, and effect of measurement noise are analysed and estimated. Finally, experimental results, which involve both simulations using signals affected by real nonlinear devices and real RIR measurements in the presence of nonlinearities, compare the proposed approach with the ones that are based on PPSs for Legendre nonlinear filter, maximal length sequences, and exponential sweeps.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/290048

A smart sensor-based measurement system for advanced bee hive monitoring
SENSORS
Autore/i: Cecchi, S.; Spinsante, S.; Terenzi, A.; Orcioni, S.
Classificazione: 1 Contributo su Rivista
Abstract: The widespread decline of honey bee (Apis mellifera L.) colonies registered in recent years has raised great attention to the need of gathering deeper knowledge about this phenomenon, by observing the colonies’ activity to identify possible causes, and design corresponding countermeasures. In fact, honey bees have well-known positive effects on both the environment and human life, and their preservation becomes critical not only for ecological reasons, but also for the social and economic development of rural communities. Smart sensor systems are being developed for real-time and long-term measurement of relevant parameters related to beehive conditions, such as the hive weight, sounds emitted by the bees, temperature, humidity, and CO2 inside the beehive, as well as weather conditions outside. This paper presents a multisensor platform designed to measure the aforementioned parameters from beehives deployed in the field, and shows how the fusion of different sensor measurements may provide insights on the status of the colony, its interaction with the surrounding environment, and the influence of climatic conditions.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/281591

An advanced audio system for stereo reproduction enhancement
148th Audio Engineering Society International Convention
Autore/i: Giliberti, D. A.; Iseini, F.; Pelagalli, N.; Terenzi, A.; Cecchi, S.
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Stereo audio systems are widely used in different scenarios, especially for portable devices. For their usability, it is important to develop algorithms capable of improving audio performance. In this context, the proposed system aim to enhance spatial sound reproduction taking advantages of three psychoacoustic effects. Starting from a virtual bass algorithm used to increase the perception of lowest frequencies exploiting the missing fundamental phenomenon, a stereo enhancer is used to add a spatialization effect to sound reproduction in the medium frequency range. Finally, a decorrelator algorithm operating in the high frequency range and capable of improving the apparent source width of the audio signal is applied. The combination of these three effects generates a pleasant perception of the reproduced sound.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298323

Review on electric vehicles exterior noise generation and evaluation
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2020
Autore/i: Terenzi, A.; Spinsante, S.; Cecchi, S.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The increasing worldwide adoption of Electric Vehicles promises to deliver a number of positive impacts, not only on the environment, but also on the quality of life of citizens in urban scenarios. However, the absence of exterior sound in Hybrid and Electrical Vehicles, especially at low speeds, may negatively affect pedestrian safety. While regulations mandate the adoption of Acoustic Vehicle Alert Systems, they also leave freedom to manufacturers and sound designers to find proper warning sounds, able not only to fulfill safety requirements but also to preserve the brand identity. This paper presents the most relevant initiatives around warning sound design, from the scientific state-of-art to the industrial implementations and R&D projects, taking into account the warning sound assessment methodologies imposed by regulations.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298327

Identification Issues Associated with the Use of Wearable Accelerometers in Lifelogging
Human Aspects of IT for the Aged Population. Technologies, Design and User Experience. HCII 2020.
Autore/i: Poli, Angelica; Strazza, Annachiara; Cecchi, Stefania; Spinsante, Susanna
Editore: Springer, Cham
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Personal lifelogging builds upon the pervasive and continuous acquisition of sensor measurements and signals in time, and this may expose the subject, and eventually bystanders, to privacy violations. While the issue is easy to understand for image and video data, the risks associated to the use of wearable accelerometers is less clear and may be underestimated. This work addresses the problem of understanding if acceleration measurements collected from the wrist, by subjects performing different types of Activities of Daily Living (ADLs), may release personal details, for example about their gender or age. A positive outcome would motivate the need for de-identification algorithms to be applied to acceleration signals, embedded into wearable devices, in order to limit the unintentional release of personal details and ensure the necessary privacy by design and by default requirements.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/283280

A Swept-Sine Pulse Compression Procedure for an Effective Measurement of Intermodulation Distortion
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Autore/i: Burrascano, Pietro; Laureti, Stefano; Ricci, Marco; Terenzi, Alessandro; Cecchi, Stefania; Spinsante, Susanna; Piazza, Francesco
Classificazione: 1 Contributo su Rivista
Abstract: The ability to produce accurate models of nonlinear systems has grown enormously, thanks to the increase in the available computing power, thus making possible to use such models in a wide range of applications. Adopting these techniques not only enables to design much more efficient systems but also increases the need for accurate and straightforward methods to monitor distortion levels, even out of the testing laboratories. In this context, efficient estimators of total harmonic distortion (HD), HD of order n , and intermodulation distortion (IMD) are needed, which are among the most widely adopted indicators of nonlinearity. In this paper, we focus on the IMD, which is a robust feature indicator within the whole systems operating bandwidth, whose measurement is based on the effects produced by the nonlinear system when a composite signal feeds its input. We propose an efficient procedure to measure the IMD allowing the simultaneous evaluation of HD of order n and of total HD. The proposed technique relies and extends the synchronized exponential swept-sine technique for the characterization of nonlinear systems by introducing a suitable double exponential chirp input signal. The method estimates all the distortion-level indicators by processing the response to a single, short-duration signal, showing a moderate computational cost and low sensitivity to ambient noise. These advantages make the application of the proposed method extremely rapid and convenient, even in the measurement of operating field devices. Tests have been carried out both in simulated and real-world scenarios, confirming the proposed approach validity
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265697

Physical Stimuli and Emotions: EDA Features Analysis from a Wrist-Worn Measurement Sensor
Proceedings of 2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
Autore/i: Cecchi, Stefania; Piersanti, Agnese; Poli, Angelica; Spinsante, Susanna
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/284050

Applying signal decorrelation to a guitar modulation effect
149th Audio Engineering Society Convention 2020, AES 2020
Autore/i: Terenzi, A.; Bruschi, V.; Nobili, S.; Cecchi, S.
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In this paper, a new algorithm for a guitar modulation effect for a stereophonic reproduction is presented and tested. The algorithm is based on a signal decorrelation with its application on a vibrato effect. The decorrelation is achieved through an all-pass biquad IIR filters, while the vibrato effect consists of a periodic variation of the signal time delay. A real-time implementation of the system has been realized and several tests have been performed. An objective and subjective analysis of the algorithm is performed to verify the feasibility of the proposed approach.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/298326

Orthogonal Periodic Sequences for the Identification of Functional Link Polynomial Filters
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Autore/i: Carini, Alberto; Orcioni, Simone; Terenzi, Alessandro; Cecchi, Stefania
Classificazione: 1 Contributo su Rivista
Abstract: The paper introduces a novel family of deterministic periodic signals, the orthogonal periodic sequences (OPSs), that allow the perfect identification on a finite period of any functional link polynomials (FLiP) filter with the cross-correlation method. The class of FLiP filters is very broad and includes many popular nonlinear filters, as the well-known Volterra and the Wiener nonlinear filters. The novel sequences share many properties of the perfect periodic sequences (PPSs). As the PPSs, they allow the perfect identification of FLiP filters with the cross-correlation method. But, while PPSs exist only for orthogonal FLiP filters, the OPSs allow also the identification of non-orthogonal FLiP filters, as the Volterra filters. In OPSs, the modeled system input can be any persistently exciting sequence and can also be a quantized sequence. Moreover, OPSs can often identify FLiP filters with a sequence period and a computational complexity much smaller that PPSs. The provided experimental results, involving the identification of real devices and of a benchmark model, highlight the potentialities of the proposed OPSs in modeling unknown nonlinear systems
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/283757

Multi-sensor platform for real time measurements of honey bee hive parameters
IOP Conference Series: Earth and Environmental Science
Autore/i: Cecchi, S.; Terenzi, A.; Orcioni, S.; Spinsante, S.; Mariani Primiani, V.; Moglie, F.; Ruschioni, S.; Mattei, S.; Riolo, P.; Isidoro, N.
Editore: Institute of Physics Publishing
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266895

On Room Impulse Response Measurement Using Orthogonal Periodic Sequences
2019 27th European Signal Processing Conference (EUSIPCO)
Autore/i: Carini, Alberto; Orcioni, Simone; Cecchi, Stefania
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The paper discusses a measurement method for the room impulse response (RIR) which is robust towards the nonlinearities affecting the power amplifier or the loudspeaker used in the measurement. In the proposed approach, the measurement system is modeled with a Volterra filter. The first order kernel of the Volterra filter, i.e., the linear part, is efficiently determined using orthogonal periodic sequences (OPSs) and the cross-correlation method. The approach shares many similarities with RIR measurements based on perfect periodic sequences (PPSs). In contrast to PPSs, the proposed approach is able to directly measure the impulse response for small signals of the measurement system. Moreover, the input signal can be any periodic persistently exciting sequence and can also be a quantized sequence. Measurements performed on an emulated scenario compare the proposed approach with other competing RIR measurement methods.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272135

Applying sound equalization to vibrating sound transducers mounted on rigid panels
147th Audio Engineering Society International Convention 2019
Autore/i: Cecchi, S.; Terenzi, A.; Piazza, F.; Bettarelli, F.
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272467

Digital Signal Processing for Audio Applications: Then, Now and the Future
The First Outstanding 50 Years of “Università Politecnica delle Marche”
Autore/i: Piazza, Francesco; Squartini, Stefano; Cecchi, Stefania; Fiori, Simone; Orcioni, Simone; Spinsante, Susanna; Pirani, Stefano
Editore: Springer
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272643

Features Extraction Applied to the Analysis of the Sounds Emitted by Honey Bees in a Beehive
Image and Signal Processing and Analysis (ISPA), 2019 11th International Symposium on
Autore/i: Terenzi, Alessandro; Cecchi, Stefania; Orcioni, Simone; Piazza, Francesco
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271206

Immersive sound reproduction in real environments using a linear loudspeaker array
147th Audio Engineering Society International Convention 2019
Autore/i: Bruschi, V.; Ortolani, N.; Cecchi, S.; Piazza, F.
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272469

Analysis of the sound emitted by honey bees in a beehive
147th Audio Engineering Society Convention 2019
Autore/i: Cecchi, Stefania; Terenzi, Alessandro; Orcioni, Simone; Piazza, Francesco
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271211

Real-time System Implementation for Bee Hives Weight Measurement
2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor 2019) Proceedings
Autore/i: Terenzi, A.; Cecchi, S.; Spinsante, S.; Orcioni, S.; Piazza, F.
Editore: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271119

Introducing the Orthogonal Periodic Sequences for the Identification of Functional Link Polynomial Filters
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Autore/i: Carini, Alberto; Orcioni, Simone; Cecchi, Stefania
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266894

Nonlinear System Identification Using Wiener Basis Functions and Multiple-Variance Perfect Sequences
SIGNAL PROCESSING
Autore/i: Carini, Alberto; Orcioni, Simone; Terenzi, Alessandro; Cecchi, Stefania
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263972

Audio-based Identification of Beehive States
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Autore/i: Nolasco, Ines; Terenzi, Alessandro; Cecchi, Stefania; Orcioni, Simone; Bear, Helen L.; Benetos, Emmanouil
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266893

A multiband structure based on hammerstein model for nonlinear audio system identification
International Symposium on Image and Signal Processing and Analysis, ISPA
Autore/i: Terenzi, A.; Bruschi, V.; Cornell, S.; Castellani, A.; Cecchi, S.
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272468

A preliminary study of new technology for beehives monitoring
ECE 2018 – XI European Congress of Entomology. Book of Abstracts
Autore/i: Ruschioni, Sara; Mattei, Sheyen; Cecchi, Stefania; Terenzi, Alessandro; Orcioni, Simone; Isidoro, Nunzio; Riolo, Paola
Editore: Università di Napoli
Luogo di pubblicazione: Napoli
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The honeybee, Apis mellifera, is unquestionably considered an important and significant contributor among the animal pollinators, playing an essential role in the prosperity of the world’s ecosystems and indeed to life itself. The aim of this work was to study a procedure that could integrate visual observations carried out on the families and measurable parameters such as sound, temperature, humidity, CO2 and hive weight, in order to detect information of the state of the hive. The parameters were acquired with sensors placed in the hive. The system was installed in a colony composed by three bee hives positioned within the University Campus. Bees families were evaluated once a week, looking at morpho-productive characters: queen´s prolificacy, brood´s capacity, family strength, brood´s viability, increased amount of wax combs in the nest, the quantity of honey and bee bread accumulated in the nest. An hardware platform and a software system to acquire and analyze data from the sensors supports the analysis of the data obtained from the observations. In this context, the proposed work aims at studying and developing an innovative system capable of giving to the beekeepers an early analysis of beehives condition, detecting anomalous situations and predicting particular event. In this work, preliminary results will be reported. This study was financially supported by the Università Politecnica delle Marche, Ancona, Italy, within the project “NuHive: New technology for beehives monitoring”.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/273189

A preliminary study of sounds emitted by honey bees in a beehive
144th Audio Engineering Society Convention 2018
Autore/i: Cecchi, Stefania; Terenzi, Alessandro; Orcioni, Simone; Riolo, Paola; Ruschioni, Sara; Isidoro, Nunzio
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259472

Real time implementation of an active noise control for snoring reduction
144th Audio Engineering Society Convention 2018
Autore/i: Cecchi, Stefania; Terenzi, Alessandro; Peretti, Paolo; Bettarelli, Ferruccio
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261707

A novel measurement procedure for wiener/hammerstein classification of nonlinear audio systems
144th Audio Engineering Society Convention 2018
Autore/i: Primavera, Andrea; Gasparini, Michele; Cecchi, Stefania; Hariya, Wataru; Murai, Shogo; Oishi, Koji; Piazza, Francesco
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261708

Identification of Volterra Models of Tube Audio Devices using Multiple-Variance Method
AES
Autore/i: Orcioni, Simone; Terenzi, Alessandro; Cecchi, Stefania; Piazza, Francesco; Carini, Alberto
Classificazione: 1 Contributo su Rivista
Abstract: The multiple-variance method is a cross-correlation method that exploits input signals with different powers for the identification of a nonlinear system by means of the Volterra series. It overcomes the problem of the locality of the solution of traditional nonlinear identification methods, based on mean square error minimization or cross-correlation, that well approximate the system only for inputs that have approximately the same power of the identification signal. The multiple-variance method permits to improve the performance of models of systems that have inputs with high dynamic, like audio amplifiers. This method is used, for the first time, to identify three different tube amplifiers. The method is applied to a novel reduced Volterra model that allows to overcome the problem of the very large number of coefficients required by the Volterra series by choosing only a proper subset of elements from each kernel. Eventually, the multiple-variance methodology is applied to different real audio tube devices demonstrating the effectiveness of the proposed approach in terms of system identification and computational complexity.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261341

On Room Impulse Response Measurement Using Perfect Sequences for Wiener Nonlinear Filters
2018 26th European Signal Processing Conference (EUSIPCO)
Autore/i: Carini, A.; Cecchi, S.; Terenzi, A.; Orcioni, S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261356

Identification of nonlinear audio devices exploiting multiple-variance method and perfect sequences
144th Audio Engineering Society Convention 2018
Autore/i: Orcioni, Simone; Carini, Alberto; Cecchi, Stefania; Terenzi, Alessandro; Piazza, Francesco
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259284

Room response equalization-A review
APPLIED SCIENCES
Autore/i: Cecchi, Stefania; Carini, Alberto; Spors, Sascha
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255242

Orthogonal LIP Nonlinear Filters
Adaptive Learning Methods for Nonlinear System Modeling
Autore/i: Carini, Alberto; Cecchi, Stefania; Orcioni, Simone
Editore: Butterworth-Heinemann
Classificazione: 2 Contributo in Volume
Abstract: This chapter provides an overview of orthogonal linear-in-the-parameter (LIP) nonlinear filters defined in the real domain. After reviewing the classical theory of Volterra and Wiener filters, it presents different classes of real LIP nonlinear filters, whose basis functions are orthogonal for specific distributions of the input signal, under the unified framework of functional link polynomial (FLiP) filters. The class of FLiP filters includes non orthogonal and orthogonal nonlinear filters, as the Wiener nonlinear filters, the even mirror Fourier nonlinear filters, the Legendre and Chebyshev nonlinear filters. Under the same framework, many other families of orthogonal LIP nonlinear filters could be defined. All FLiP filters can arbitrarily well approximate any causal, time-invariant, finite-memory, continuous, nonlinear system according to the Stone-Weierstrass theorem. The orthogonality of the basis functions allows fast convergence of gradient descent adaptation algorithms and efficient identification of the nonlinear systems using the cross-correlation method, i.e., simply computing the cross-correlation between the output of the system and the basis functions. Moreover, perfect periodic sequences (PPSs), which are deterministic periodic sequences that guarantee the orthogonality of the basis functions over a period, can also be easily developed. Recent identification techniques for FLiP and LIP nonlinear filters are also reviewed within the chapter. In particular, we consider the identification of FLiP filters using PPSs and the multiple-variance identification method, which allows to contrast the fact that the estimated model approximates the unknown system well only at the same input variance of the measurement. Experimental results discussing the identification of real nonlinear devices illustrate the advantages provided by orthogonal LIP filters and by the novel identification techniques in applications.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252602

A pulse compression procedure for an effective measurement of intermodulation distortion
International Symposium on Image and Signal Processing and Analysis, ISPA
Autore/i: Burrascano, P.; Laureti, S.; Ricci, M.; Terenzi, Alessandro; Cecchi, S.
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255246

Multivariance nonlinear system identification using Wiener basis functions and perfect sequences
Signal Processing Conference (EUSIPCO), 2017 25th European
Autore/i: Orcioni, Simone; Cecchi, Stefania; Carini, Alberto
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Multivariance identification methods exploit input signals with multiple variances for estimating the Volterra kernels of nonlinear systems. They overcome the problem of the locality of the solution, i.e., the fact that the estimated model well approximates the system only at the same input signal variance of the measurement. The estimation of a kernel for a certain input signal variance requires recomputing all lower order kernels. In this paper, a novel multivariance identification method based on Wiener basis functions is proposed to avoid recomputing the lower order kernels with computational saving. Formulas are provided for evaluating the Volterra kernels from the Wiener multivariance kernels. In order to further improve the nonlinear filter estimation, perfect periodic sequences that guarantee the orthogonality of the Wiener basis functions are used for Wiener kernel identification. Simulations and real measurements show that the proposed approach can accurately model nonlinear devices on a wide range of input signal variances.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252315

Multichannel acoustic echo cancellation exploiting effective fundamental frequency estimation
SPEECH COMMUNICATION
Autore/i: Romoli, Laura; Cecchi, Stefania; Piazza, Francesco
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/241190

Automatic localization of a virtual sound image generated by a stereophonic configuration
140th Audio Engineering Society International Convention 2016, AES 2016
Autore/i: Romoli, Laura; Cecchi, Stefania; Bettarelli, Ferruccio; Piazza, Francesco
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240525

An innovative structure for the approximation of stereo reverberation effect using mixed FIR/IIR filters
140th Audio Engineering Society International Convention 2016, AES 2016
Autore/i: Primavera, Andrea; Cecchi, Stefania; Romoli, Laura; Gasparini, Michele; Piazza, Francesco
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240526

Multichannel Double-Talk Detector based on Fundamental Frequency Estimation
IEEE SIGNAL PROCESSING LETTERS
Autore/i: Cecchi, Stefania; Romoli, Laura; Piazza, Francesco
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/233953

Investigation on audio algorithms architecture for stereo portable devices
AES
Autore/i: Cecchi, Stefania; Virgulti, Marco; Primavera, Andrea; Piazza, Francesco; Bettarelli, Ferruccio; Li, Junfeng
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/233954

Robust room impulse response measurement using perfect sequences for legendre nonlinear filters
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING
Autore/i: Carini, Alberto; Cecchi, Stefania; Romoli, Laura
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240528

Perfect Periodic Sequences for Nonlinear Wiener Filters
24th European Signal Processing Conference (EUSIPCO)
Autore/i: Carini, Alberto; Romoli, Laura; Cecchi, Stefania; Orcioni, Simone
Editore: European Signal Processing Conference, EUSIPCO
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: A periodic sequence is defined as a perfect periodic sequence for a certain nonlinear filter if the cross-correlation between any two of the filter basis functions, estimated over a period, is zero. Using a perfect periodic sequence as input signal, an unknown nonlinear system can be efficiently identified with the cross-correlation method. Moreover, the basis functions that guarantee the most compact representation according to some information criterion can also be easily estimated. Perfect periodic sequences have already been developed for even mirror Fourier, Legendre and Chebyshev nonlinear filters. In this paper, we show they can be developed also for nonlinear Wiener filters. Their development is non-trivial and differs from that of the other nonlinear filters, since Wiener filters have orthogonal basis functions for white Gaussian input signals. Experimental results highlight the usefulness of the proposed perfect periodic sequences in comparison with the Gaussian input signals commonly used for Wiener filter identification.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240529

Combining evolution strategies and neural network procedures for compression driver design
Neural Networks (IJCNN), 2016 International Joint Conference on
Autore/i: Gasparini, Michele; Vesperini, Fabio; Cecchi, Stefania; Squartini, Stefano; Piazza, Francesco; Toppi, Romolo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Compression driver design involves the study of complex mathematical models characterized by a great number of variables, implying high computational cost and long design time. Therefore, an optimization procedure is required to enhance the design procedure, especially from the parameters point of view. In this paper, a combined approach based both on evolution strategy procedure and neural network model is presented. Taking into consideration several tests on a real compression driver, the proposed method is capable to enhance the design procedure from the point of view of obtained frequency response and of the computational performance.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/239797

A comparison of optimization methods for compression driver design
140th Audio Engineering Society International Convention 2016, AES 2016
Autore/i: Gasparini, Michele; Capucci, Emiliano; Cecchi, Stefania; Toppi, Romolo; Piazza, Francesco
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240527

An Interactive Optimization Procedure for Stereophonic Acoustic Echo Cancellation Systems
Proc. International Joint Conference on Neural Network
Autore/i: Romoli, Laura; Cecchi, Stefania; Piazza, Francesco; Comminiello, Danilo; Scarpiniti, Michele; Uncini, Aurelio
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/233961

A hybrid approach for reverberation simulation
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS, COMMUNICATIONS AND COMPUTER SCIENCES
Autore/i: Xia, Risheng; Li, Junfeng; Primavera, Andrea; Cecchi, Stefania; Suzuki, Yoiti; Yan, Yonghong
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/230062

Legendre nonlinear filters
SIGNAL PROCESSING
Autore/i: Carini, Alberto; Cecchi, Stefania; Romoli, Laura; Sicuranza, Giovanni L.
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/230061

Real-Time Implementation and Performance Evaluation of Digital Control for Loudspeakers Line Arrays
APPLIED ACOUSTICS
Autore/i: Romoli, Laura; Cecchi, Stefania; Peretti, Paolo; Piazza, Francesco
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/229016

Intelligent Acoustic Interfaces with Multisensor Acquisition for Immersive Reproduction
IEEE TRANSACTIONS ON MULTIMEDIA
Autore/i: Comminiello, Danilo; Cecchi, Stefania; Scarpiniti, Michele; Gasparini, Michele; Romoli, Laura; Piazza, Francesco; Uncini, Aurelio
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/229025

A Voice Activity Detection Algorithm for Multichannel Acoustic Echo Cancellation Exploiting Fundamental Frequency Estimation
Proc. 9th Int'l Symposium on Image and Signal Processing and Analysis
Autore/i: Romoli, Laura; Cecchi, Stefania; Piazza, Francesco
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/233959

An Adaptive Multichannel Identification System for Room Response Equalization
Proc. Int. Conf. Electronics, Computers and Artificial Intelligence
Autore/i: Cecchi, Stefania; Romoli, Laura; Gasparini, Michele; Carini, Alberto; Bettarelli, Ferruccio
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/233957

An Optimization Procedure for a Nonlinear System Identification Approach based on Cubic Splines
Proc. Int. Conf. Electronics, Computers and Artificial Intelligence
Autore/i: Romoli, Laura; Cecchi, Stefania; Gasparini, Michele; Piazza, Francesco
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/233958

Room Impulse Response Estimation using Perfect sequences for Legendre Nonlinear filters
Proc. 23nd European Signal Processing Conference
Autore/i: Carini, Alberto; Cecchi, Stefania; Romoli, Laura
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/233956

Investigation on Crosstalk Cancellation introducing Loudspeakers Directivity in HRTFs approximation
Proc. 9th Int'l Symposium on Image and Signal Processing and Analysis
Autore/i: Cecchi, Stefania; Romoli, Laura; Piazza, Francesco; Bettarelli, Ferruccio
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/233960

A Novel Approach for Prototype Extraction in a Multipoint Equalization Procedure
Proc. 136th Audio Engineering Society Convention
Autore/i: Cecchi, Stefania; Romoli, Laura; Piazza, Francesco; Bank, B.; Carini, A.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/148304

Multiphysic modeling and heuristic optimization of compression driver design
Proc. 136th Audio Engineering Society Convention
Autore/i: Gasparini, Michele; Cecchi, Stefania; Piazza, Francesco; Capucci, E.; Toppi, R.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/148305

Application of common-pole parallel filters to nonlinear models based on orthogonal functions
Proc. 136th Audio Engineering Society Convention
Autore/i: Romoli, Laura; Cecchi, Stefania; Bank, B.; Gasparini, Michele; Piazza, Francesco
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/148303

A Novel Decorrelation Approach for an Advanced Multichannel Acoustic Echo Cancellation System
Proc. 22nd European Signal Processing Conference
Autore/i: Romoli, Laura; Cecchi, Stefania; Comminiello, D.; Piazza, Francesco; Uncini, A.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/180304

Introducing Legendre nonlinear filters
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Autore/i: Carini, Alberto; Cecchi, Stefania; Gasparini, Michele; Sicuranza, Giovanni L.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/230063

A Multichannel and Multiple Position Adaptive Room Response Equalizer in Warped Domain: Real-time Implementation and Performance Evaluation
APPLIED ACOUSTICS
Autore/i: Cecchi, Stefania; Romoli, Laura; Carini, A.; Piazza, Francesco
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/148309

AN EFFICIENT IMPLEMENTATION OF ACOUSTIC CROSSTALK CANCELLATION FOR 3D AUDIO RENDERING
Proc. 2nd IEEE China Summit and International Conference on Signal and Information Processing
Autore/i: Cecchi, Stefania; Primavera, Andrea; Virgulti, M.; Bettarelli, F.; Li, J.; Piazza, Francesco
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/163719

Advanced Audio Spatializer combined with a Multipoint Equalization System
Proc. IEEE World Congress on Computational Intelligence
Autore/i: Cecchi, Stefania; Primavera, Andrea; Piazza, Francesco; Bettarelli, F.; Li, J.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/163717