26.1.11 Acoustic Signals, Sounds, Audio

Ávila, F.R., Duarte, L.T., Biscainho, L.W.P.,
On the Sparsity-Based Identification and Compensation of Hammerstein Systems,
SPLetters(24), No. 9, September 2017, pp. 1363-1367.
IEEE DOI 1708
Analytical models, Frequency-domain analysis, Linear systems, Nonlinear distortion, Nonlinear systems, Blind system identification, Hammerstein systems, sparse, signal, processing BibRef

Parseihian, G., Gondre, C., Aramaki, M., Ystad, S., Kronland-Martinet, R.,
Comparison and Evaluation of Sonification Strategies for Guidance Tasks,
MultMed(18), No. 4, April 2016, pp. 674-686.
IEEE DOI 1604
Auditory displays BibRef

Luo, D., Sun, M., Huang, J.,
Audio Postprocessing Detection Based on Amplitude Cooccurrence Vector Feature,
SPLetters(23), No. 5, May 2016, pp. 688-692.
IEEE DOI 1604
Authentication BibRef

Tuma, M.[Matthias], Rørbech, V., Prior, M.K.[Mark K.], Igel, C.[Christian],
Integrated Optimization of Long-Range Underwater Signal Detection, Feature Extraction, and Classification for Nuclear Treaty Monitoring,
GeoRS(54), No. 6, June 2016, pp. 3649-3659.
IEEE DOI 1606
BibRef
Earlier: A1, A4, A3, Only:
Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets,
ICPR10(1011-1014).
IEEE DOI 1008
feature extraction BibRef

Lin, X., Liu, J., Kang, X.,
Audio Recapture Detection With Convolutional Neural Networks,
MultMed(18), No. 8, August 2016, pp. 1480-1487.
IEEE DOI 1608
audio recording BibRef

Na, Y., Guo, Y., Fu, Q., Yan, Y.,
Cross Array and Rank-1 MUSIC Algorithm for Acoustic Highway Lane Detection,
ITS(17), No. 9, September 2016, pp. 2502-2514.
IEEE DOI 1609
Acoustics BibRef

Lee, H., Kim, G., Kim, H.G., Oh, S.H., Lee, S.Y.,
Deep CNNs Along the Time Axis With Intermap Pooling for Robustness to Spectral Variations,
SPLetters(23), No. 10, October 2016, pp. 1310-1314.
IEEE DOI 1610
acoustic signal processing BibRef

Huang, W.[Wei], Wang, D.[Delin], Ratilal, P.[Purnima],
Diel and Spatial Dependence of Humpback Song and Non-Song Vocalizations in Fish Spawning Ground,
RS(8), No. 9, 2016, pp. 712.
DOI Link 1610
BibRef

Ren, J., Jiang, X., Yuan, J., Magnenat-Thalmann, N.,
Sound-Event Classification Using Robust Texture Features for Robot Hearing,
MultMed(19), No. 3, March 2017, pp. 447-458.
IEEE DOI 1702
Auditory system BibRef

Salamon, J., Bello, J.P.,
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification,
SPLetters(24), No. 3, March 2017, pp. 279-283.
IEEE DOI 1702
Convolution BibRef

Nanni, L., Costa, Y.M.G., Lucio, D.R., Silla, Jr., C.N., Brahnam, S.,
Combining visual and acoustic features for audio classification tasks,
PRL(88), No. 1, 2017, pp. 49-56.
Elsevier DOI 1703
Audio classification BibRef

Plinge, A.[Axel], Fink, G.A.[Gernot A.], Gannot, S.,
Passive Online Geometry Calibration of Acoustic Sensor Networks,
SPLetters(24), No. 3, March 2017, pp. 324-328.
IEEE DOI 1702
Acoustic sensors BibRef

Grzeszick, R.[Rene], Plinge, A.[Axel], Fink, G.A.[Gernot A.],
Temporal Acoustic Words for Online Acoustic Event Detection,
GCPR15(142-153).
Springer DOI 1511
BibRef

Bernardini, A., d'Aria, M., Sannino, R., Sarti, A.,
Efficient Continuous Beam Steering for Planar Arrays of Differential Microphones,
SPLetters(24), No. 6, June 2017, pp. 794-798.
IEEE DOI 1705
Acoustic beams, Array signal processing, Microphone arrays, Shape, Structural beams, Beam steering, differential, microphone, arrays BibRef

Bilbao, S., Esqueda, F., Parker, J.D., Välimäki, V.,
Antiderivative Antialiasing for Memoryless Nonlinearities,
SPLetters(24), No. 7, July 2017, pp. 1049-1053.
IEEE DOI 1706
audio signal processing, nonlinear functions, signal sampling, aliasing reduction method, antiderivative antialiasing, audio signal processing, discrete-time memoryless nonlinearities, discrete-time modeling, higher order antiderivatives, nonlinear analog systems, nonlinear function, oversampled rate, signal-to-noise ratio, Distortion, Harmonic analysis, Integral equations, Signal processing algorithms, Signal to noise ratio, Aliasing, harmonic distortion, nonlinear systems, signal denoising, signal, processing, algorithms BibRef

Krishnan, L., Betlehem, T., Teal, P.D.,
A Statistically Robust Approach to Acoustic Impulse Response Shaping,
SPLetters(24), No. 8, August 2017, pp. 1138-1142.
IEEE DOI 1708
acoustic signal processing, architectural acoustics, filtering theory, humidity, probability, reverberation, statistical analysis, stochastic processes, acoustic impulse response Shaping, channel variations stochastic model. BibRef

Yao, S., Niu, B., Liu, J.,
Audio Identification by Sampling Sub-fingerprints and Counting Matches,
MultMed(19), No. 9, September 2017, pp. 1984-1995.
IEEE DOI 1708
Acoustic distortion, Filtering, Fingerprint recognition, Indexes, Robustness, Audio fingerprint, audio retrieval, dynamic threshold, inverted index, multi-granularity, filter BibRef

Ramos, G., Cobos, M., Bank, B., Belloch, J.A.,
A Parallel Approach to HRTF Approximation and Interpolation Based on a Parametric Filter Model,
SPLetters(24), No. 10, October 2017, pp. 1507-1511.
IEEE DOI 1710
approximation theory, audio signal processing, filtering theory BibRef

Rämö, J., Bech, S., Jensen, S.H.,
Real-Time Perceptual Model for Distraction in Interfering Audio-on-Audio Scenarios,
SPLetters(24), No. 10, October 2017, pp. 1448-1452.
IEEE DOI 1710
audio systems, mean square error methods, adaptive sound-zone systems, computational efficiency BibRef

Cassier, M.[Maxence], Vasquez, F.G.[Fernando Guevara],
Imaging Polarizable Dipoles,
SIIMS(10), No. 3, 2017, pp. 1381-1415.
DOI Link 1710
BibRef

Cao, J., Wang, W., Wang, J., Wang, R.,
Excavation Equipment Recognition Based on Novel Acoustic Statistical Features,
Cyber(47), No. 12, December 2017, pp. 4392-4404.
IEEE DOI 1712
Acoustics, Engines, Monitoring, Performance evaluation, Pipelines, Support vector machines, Vehicles, Acoustic statistical feature, extreme learning machine BibRef

Kovács, G.[György], Tóth, L.[László], van Compernolle, D.[Dirk], Ganapathy, S.[Sriram],
Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout,
PRL(100), No. 1, 2017, pp. 44-50.
Elsevier DOI 1712
Convolutional neural network BibRef

Jing, L., Liu, B., Choi, J., Janin, A., Bernd, J., Mahoney, M.W., Friedland, G.,
DCAR: A Discriminative and Compact Audio Representation for Audio Processing,
MultMed(19), No. 12, December 2017, pp. 2637-2650.
IEEE DOI 1712
Covariance matrices, Event detection, Feature extraction, Gaussian mixture model, Manifolds, event detection BibRef

Ueno, N., Koyama, S., Saruwatari, H.,
Sound Field Recording Using Distributed Microphones Based on Harmonic Analysis of Infinite Order,
SPLetters(25), No. 1, January 2018, pp. 135-139.
IEEE DOI 1801
acoustic signal processing, audio recording, harmonic analysis, microphone arrays, numerical analysis, arbitrary array geometry, sound field reproduction BibRef

Hashemgeloogerdi, S., Bocko, M.F.,
Inherently Stable Weighted Least-Squares Estimation of Common Acoustical Poles With the Application in Feedback Path Modeling Utilizing a Kautz Filter,
SPLetters(25), No. 3, March 2018, pp. 368-372.
IEEE DOI 1802
Acoustics, Adaptation models, Computational modeling, Estimation, Signal processing algorithms, Stability analysis, weighted least-squares (WLS) estimation BibRef

Peddinti, V., Wang, Y., Povey, D., Khudanpur, S.,
Low Latency Acoustic Modeling Using Temporal Convolution and LSTMs,
SPLetters(25), No. 3, March 2018, pp. 373-377.
IEEE DOI 1802
Acoustics, Computational modeling, Context, Context modeling, Convolution, Neural networks, Switches, Acoustic model, time-delay neural networks BibRef

Pérez-Solano, J.J., Cobos, M., Segura, J., Felici-Castell, S.,
On the Design of Probe Signals in Wireless Acoustic Sensor Networks Self-Positioning Algorithms,
SPLetters(25), No. 4, April 2018, pp. 566-570.
IEEE DOI 1804
acoustic signal processing, acoustic transducers, audio signal processing, wireless sensor networks, wireless acoustic sensor networks BibRef

Xia, X.J.[Xian-Jun], Togneri, R.[Roberto], Sohel, F.[Ferdous], Huang, D.[David],
Random forest classification based acoustic event detection utilizing contextual-information and bottleneck features,
PR(81), 2018, pp. 1-13.
Elsevier DOI 1806
Acoustic event detection, Contextual information, Global bottleneck features, Category-specific bottleneck features BibRef

Ureña, J., Hernández, Á., García, J.J., Villadangos, J.M., Pérez, M.C.[M. Carmen], Gualda, D., Álvarez, F.J., Aguilera, T.,
Acoustic Local Positioning With Encoded Emission Beacons,
PIEEE(106), No. 6, June 2018, pp. 1042-1062.
IEEE DOI 1806
Acoustic measurements, Acoustics, Magnetic fields, Magnetoacoustic effects, Radio frequency, Receivers, ultrasonic signals BibRef

Yang, W.J.[Wen-Jun], Krishnan, S.[Sridhar],
Sound event detection in real-life audio using joint spectral and temporal features,
SIViP(12), No. 7, October 2018, pp. 1345-1352.
WWW Link. 1809
BibRef

Vellaisamy, S.[Sakthivel], Elias, E.[Elizabeth],
Design of hardware-efficient digital hearing aids using non-uniform MDFT filter banks,
SIViP(12), No. 8, November 2018, pp. 1429-1436.
WWW Link. 1809
BibRef

Oudre, L.[Laurent],
Interpolation of Missing Samples in Sound Signals Based on Autoregressive Modeling,
IPOL(8), 2018, pp. 329-344.
DOI Link 1810
BibRef

Lostanlen, V., Salamon, J., Cartwright, M., McFee, B., Farnsworth, A., Kelling, S., Bello, J.P.,
Per-Channel Energy Normalization: Why and How,
SPLetters(26), No. 1, January 2019, pp. 39-43.
IEEE DOI 1901
acoustic signal detection, acoustic signal processing, AWGN, Gaussian distribution, pattern recognition, spectrogram BibRef

Salvati, D., Drioli, C., Foresti, G.L.,
Power Method for Robust Diagonal Unloading Localization Beamforming,
SPLetters(26), No. 5, May 2019, pp. 725-729.
IEEE DOI 1905
acoustic signal processing, array signal processing, computational complexity, covariance matrices, drone BibRef

Xia, X., Togneri, R., Sohel, F., Huang, D.,
Auxiliary Classifier Generative Adversarial Network With Soft Labels in Imbalanced Acoustic Event Detection,
MultMed(21), No. 6, June 2019, pp. 1359-1371.
IEEE DOI 1906
Acoustics, Training, Event detection, Generative adversarial networks, Training data, quantized confidence measure BibRef

Ban, Y., Alameda-Pineda, X., Evers, C., Horaud, R.,
Tracking Multiple Audio Sources With the von Mises Distribution and Variational EM,
SPLetters(26), No. 6, June 2019, pp. 798-802.
IEEE DOI 1906
approximation theory, audio signal processing, Bayes methods, expectation-maximisation algorithm, filtering theory, EM BibRef

Montalvão, J.,
Noise Variance Estimation Through Joint Analysis of Intrinsic Dimension and Differential Entropy,
SPLetters(26), No. 9, September 2019, pp. 1330-1333.
IEEE DOI 1909
audio signal processing, chaotic communication, estimation theory, noise, parameter estimation, noise variance estimation BibRef

Abel, J.S., Canfield-Dafilou, E.K.,
Dispersive Delay and Comb Filters Using a Modal Structure,
SPLetters(26), No. 12, December 2019, pp. 1748-1752.
IEEE DOI 2001
all-pass filters, comb filters, decorrelation, delay filters, reverberation, second-order all pass sections, spring reverberation BibRef

Zucatelli, G., Coelho, R.,
Adaptive Reverberation Absorption Using Non-Stationary Masking Components Detection for Intelligibility Improvement,
SPLetters(27), 2020, pp. 1-5.
IEEE DOI 2001
Absorption, Reverberation, Noise measurement, Distortion measurement, Acoustic distortion, intelligibility BibRef

Farias, F., Coelho, R.,
Blind Adaptive Mask to Improve Intelligibility of Non-Stationary Noisy Speech,
SPLetters(28), 2021, pp. 1170-1174.
IEEE DOI 2106
Noise measurement, Speech enhancement, Signal to noise ratio, Estimation, Acoustics, Production facilities, Standards, nonstationarity BibRef

Xia, X., Togneri, R., Sohel, F., Zhao, Y., Huang, D.,
Multi-Task Learning for Acoustic Event Detection Using Event and Frame Position Information,
MultMed(22), No. 3, March 2020, pp. 569-578.
IEEE DOI 2003
Acoustics, Neural networks, Event detection, Training, Indexes, Hidden Markov models, Acoustic event detection, multi-task BibRef

Choi, J.W.[Jung-Woo],
Real-time Demonstration of Personal Audio and 3d Audio Rendering Using Line Array Systems,
MMMod20(II:734-738).
Springer DOI 2003
BibRef

Park, H., Yoo, C.D.,
CNN-Based Learnable Gammatone Filterbank and Equal-Loudness Normalization for Environmental Sound Classification,
SPLetters(27), 2020, pp. 411-415.
IEEE DOI 2004
Time-frequency analysis, Convolution, Kernel, Machine learning, Training data, Bandwidth, ESC, CNN, LGTFB, EN BibRef

Singh, A.[Arshdeep], Rajan, P.[Padmanabhan], Bhavsar, A.[Arnav],
SVD-based redundancy removal in 1-D CNNs for acoustic scene classification,
PRL(131), 2020, pp. 383-389.
Elsevier DOI 2004
Pruning, SoundNet, Embedding, Response matrix, Acoustic scene classification BibRef

Tagliasacchi, M., Quitry, F.d.C., Roblek, D.,
Multi-Task Adapters for On-Device Audio Inference,
SPLetters(27), 2020, pp. 630-634.
IEEE DOI 2005
Task analysis, Adaptation models, Computational modeling, Training, Resource management, Tuning, audio recognition BibRef

Park, S., Elhilali, M., Han, D.K., Ko, H.,
Amphibian Sounds Generating Network Based on Adversarial Learning,
SPLetters(27), 2020, pp. 640-644.
IEEE DOI 2005
Generators, Training, Linear programming, Convolution, Streaming media, Generative adversarial networks, audio stream generation BibRef

Li, Y., Liu, M., Wang, W., Zhang, Y., He, Q.,
Acoustic Scene Clustering Using Joint Optimization of Deep Embedding Learning and Clustering Iteration,
MultMed(22), No. 6, June 2020, pp. 1385-1394.
IEEE DOI 2005
Acoustics, Audio recording, Feature extraction, Clustering algorithms, Image analysis, Classification algorithms, audio content analysis BibRef

Gong, Y., Yang, J., Poellabauer, C.,
Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method,
SPLetters(27), 2020, pp. 920-924.
IEEE DOI 2006
Microphone arrays, Task analysis, Feature extraction, Speech recognition, Array signal processing, Convolution, beamforming BibRef

Zhang, L., Han, J., Shi, Z.,
Learning Temporal Relations from Semantic Neighbors for Acoustic Scene Classification,
SPLetters(27), 2020, pp. 950-954.
IEEE DOI 2007
Semantics, Acoustics, Spectrogram, Indexes, Kernel, Feature extraction, Acoustic scene classification, temporal relations BibRef

Fonseca, E., Hershey, S., Plakal, M., Ellis, D.P.W., Jansen, A., Moore, R.C.,
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking,
SPLetters(27), 2020, pp. 1235-1239.
IEEE DOI 2007
Sound event recognition, label noise, missing labels, teacher-student, loss masking BibRef

Fabry, J., Kühl, S., Jax, P.,
On the Steady State Performance of the Kalman Filter Applied to Acoustical Systems,
SPLetters(27), 2020, pp. 1854-1858.
IEEE DOI 2011
Kalman filters, Covariance matrices, Steady-state, Markov processes, Mathematical model, Fading channels, acoustic signal processing BibRef

Hu, D., Chen, Z., Yin, F.,
Analytical Geometry Calibration for Acoustic Transceiver Arrays,
SPLetters(27), 2020, pp. 1979-1983.
IEEE DOI 2011
Geometry calibration, microphone arrays, acoustic transceiver networks BibRef

Yang, W., Huang, G., Chen, J., Benesty, J., Cohen, I., Kellermann, W.,
Robust Dereverberation With Kronecker Product Based Multichannel Linear Prediction,
SPLetters(28), 2021, pp. 101-105.
IEEE DOI 2101
Reverberation, Computational complexity, Additive noise, Predictive models, Covariance matrices, Cost function, weighted-prediction-error BibRef

Zhao, X., Benesty, J., Huang, G., Chen, J.,
On a Particular Family of Differential Beamformers With Cardioid-Like and No-Null Patterns,
SPLetters(28), 2021, pp. 140-144.
IEEE DOI 2101
Sensors, Array signal processing, Acoustics, Design methodology, Microphone arrays, Convolution, White noise, directivity factor BibRef

Toffa, O.K.[Ohini Kafui], Mignotte, M.[Max],
A Hierarchical Visual Feature-Based Approach For Image Sonification,
MultMed(23), 2021, pp. 706-715.
IEEE DOI 2102
audio signal processing, edge detection, feature extraction, handicapped aids, image colour analysis, image texture, audio mapping BibRef

Bruschi, V., Nobili, S., Terenzi, A., Cecchi, S.,
A Low-Complexity Linear-Phase Graphic Audio Equalizer Based on IFIR Filters,
SPLetters(28), 2021, pp. 429-433.
IEEE DOI 2103
Equalizers, Finite impulse response filters, Graphics, Computational complexity, Interpolation, linear phase BibRef

He, L.[Lei], Shen, X.H.[Xiao-Hong], Zhang, M.H.[Mu-Hang], Wang, H.Y.[Hai-Yan],
Discriminative Ensemble Loss for Deep Neural Network on Classification of Ship-Radiated Noise,
SPLetters(28), 2021, pp. 449-453.
IEEE DOI 2103
Neural networks, Measurement, Boats, Training, Loss measurement, Weight measurement, ship-radiated noise BibRef

Leng, X., Chen, J., Benesty, J.,
A New Method to Design Steerable First-Order Differential Beamformers,
SPLetters(28), 2021, pp. 563-567.
IEEE DOI 2104
Array signal processing, Microphone arrays, Design methodology, Noise reduction, Geometry, Speech enhancement, Solids, steering BibRef

Carr, A.N.[Andrew N.], Berthet, Q.[Quentin], Blondel, M.[Mathieu], Teboul, O.[Olivier], Zeghidour, N.[Neil],
Self-Supervised Learning of Audio Representations From Permutations With Differentiable Ranking,
SPLetters(28), 2021, pp. 708-712.
IEEE DOI 2104
Task analysis, Training, Spectrogram, Time-frequency analysis, Instruments, Estimation, Neural networks, Audio, permutations, self-supervised learning BibRef

Xia, G.Q.[Guo-Qing], Xia, W.[Wei], Yu, H.[Hao],
Minimum Gaussian Entropy Based Distortionless Adaptive Beamforming Algorithms,
SPLetters(28), 2021, pp. 603-607.
IEEE DOI 2104
Entropy, Array signal processing, Distortion, Convergence, Acoustic distortion, Signal to noise ratio, second-order non-circularity BibRef

Kumar, K.[Krishna], Pandey, R.[Rajlaxmi], Bhattacharjee, S.S.[Sankha Subhra], George, N.V.[Nithin V.],
Exponential Hyperbolic Cosine Robust Adaptive Filters for Audio Signal Processing,
SPLetters(28), 2021, pp. 1410-1414.
IEEE DOI 2108
Signal processing algorithms, Cost function, Computational complexity, Steady-state, Noise measurement, room equalization BibRef

Pattanayak, B.[Biswaranjan], Pradhan, G.[Gayadhar],
Pitch-robust acoustic feature using single frequency filtering for children's KWS,
PRL(150), 2021, pp. 183-188.
Elsevier DOI 2109
KWS, Pitch, Speaking rate, Single frequency filter, Pitch robust feature BibRef

Zhang, Y.J.[Yi-Jie], Zhao, H.X.[Hai-Xia], Yan, W.J.[Wen-Jing], Gao, J.H.[Jing-Huai],
A Unified Numerical Scheme for Coupled Multiphysics Model,
GeoRS(59), No. 10, October 2021, pp. 8228-8240.
IEEE DOI 2109
Numerical models, Media, Propagation, Mathematical model, Acoustics, Solids, Stress, Acoustic, coupled model, poroelastic BibRef

Liao, H.[Han], Hua, G.[Guang], Zhang, H.J.[Hai-Jian],
ENF Detection in Audio Recordings via Multi-Harmonic Combining,
SPLetters(28), 2021, pp. 1808-1812.
IEEE DOI 2109
Harmonic analysis, Power harmonic filters, Signal to noise ratio, Detectors, Indexes, Testing, Passband, multimedia forensics BibRef

Toffa, O.K.[Ohini Kafui], Mignotte, M.[Max],
Environmental Sound Classification Using Local Binary Pattern and Audio Features Collaboration,
MultMed(23), 2021, pp. 3978-3985.
IEEE DOI 2112
Mel frequency cepstral coefficient, Spectrogram, Image recognition, Support vector machines, Collaboration, kNN BibRef

Ren, Z.[Zhao], Kong, Q.Q.[Qiu-Qiang], Han, J.[Jing], Plumbley, M.D.[Mark D.], Schuller, B.W.[Björn W.],
CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification,
MultMed(23), 2021, pp. 4131-4142.
IEEE DOI 2112
Training, Acoustics, Time-frequency analysis, Spectrogram, Data models, Computational modeling, Convolution, visualisation BibRef

Song, H.W.[Hong-Wei], Deng, S.[Shiwen], Han, J.Q.[Ji-Qing],
Exploring Inter-Node Relations in CNNs for Environmental Sound Classification,
SPLetters(29), 2022, pp. 154-158.
IEEE DOI 2202
Time-frequency analysis, Spectrogram, Psychoacoustic models, Task analysis, Neural networks, Indexes, Correlation, sound event classification BibRef

Zhao, J.Q.[Jing-Qiao], Kong, Q.Q.[Qiu-Qiang], Song, X.N.[Xiao-Ning], Feng, Z.H.[Zhen-Hua], Wu, X.J.[Xiao-Jun],
Feature Alignment for Robust Acoustic Scene Classification Across Devices,
SPLetters(29), 2022, pp. 578-582.
IEEE DOI 2202
Training, Acoustics, Performance evaluation, Task analysis, Kernel, Hidden Markov models, Feature extraction, feature alignment BibRef

Bahmei, B.[Behnaz], Birmingham, E.[Elina], Arzanpour, S.[Siamak],
CNN-RNN and Data Augmentation Using Deep Convolutional Generative Adversarial Network for Environmental Sound Classification,
SPLetters(29), 2022, pp. 682-686.
IEEE DOI 2203
Feature extraction, Convolution, Data models, Deep learning, Convolutional neural networks, Training, Generators, convolutional recurrent neural network (CRNN) BibRef

Wilk-Jakubowski, J.[Jacek], Stawczyk, P.[Pawel], Ivanov, S.[Stefan], Stankov, S.[Stanko],
High-power acoustic fire extinguisher with artificial intelligence platform,
IJCVR(12), No. 3, 2022, pp. 236-249.
DOI Link 2205
BibRef

He, Y.X.[Yi-Xuan], Xu, X.[Xing], Zhang, J.R.[Jing-Ran], Shen, F.M.[Fu-Min], Yang, Y.[Yang], Shen, H.T.[Heng Tao],
Modeling Two-Stream Correspondence for Visual Sound Separation,
CirSysVideo(32), No. 5, May 2022, pp. 3291-3302.
IEEE DOI 2205
Visualization, Timbre, Feature extraction, Task analysis, Instruments, Training, Trajectory, Video analysis, feature aggregation BibRef

Chen, J.[Jing], Wu, M.[Ming], Gong, C.[Chen], Wang, X.L.[Xiao-Lin], Yang, J.[Jun],
Steady-State Performance Analysis of the Distributed FxLMS Algorithm for Narrowband ANC System With Frequency Mismatch,
SPLetters(29), 2022, pp. 1167-1171.
IEEE DOI 2205
Frequency modulation, Signal processing algorithms, Steady-state, Narrowband, Frequency control, Transfer functions, Acoustics, steady-state analysis BibRef

Watcharasupat, K.N.[Karn N.], Ooi, K.[Kenneth], Lam, B.[Bhan], Wong, T.[Trevor], Ong, Z.T.[Zhen-Ting], Gan, W.S.[Woon-Seng],
Autonomous In-Situ Soundscape Augmentation via Joint Selection of Masker and Gain,
SPLetters(29), 2022, pp. 1749-1753.
IEEE DOI 2208
Recording, Psychoacoustic models, Feature extraction, Predictive models, Computational modeling, Acoustics, Convolution, soundscape augmentation BibRef

Verbitskiy, S.[Sergey], Berikov, V.[Vladimir], Vyshegorodtsev, V.[Viacheslav],
ERANNs: Efficient residual audio neural networks for audio pattern recognition,
PRL(161), 2022, pp. 38-44.
Elsevier DOI 2209
Audio pattern recognition, Sound classification, Audio tagging, Residual convolutional neural networks, Transfer learning BibRef

Wu, X.Y.[Xin-Yu], Wang, H.X.[Hong-Xia],
Asymmetric Contrastive Learning for Audio Fingerprinting,
SPLetters(29), 2022, pp. 1873-1877.
IEEE DOI 2209
Fingerprint recognition, Spectrogram, Representation learning, Time-frequency analysis, Convolution, Training, Task analysis, self-supervised learning BibRef

Kumar, M.L.N.[Murala Laxmi Naresh], Sen, D.[Debarati], Mohine, S.[Shailesh], Bansod, B.S.[Babankumar S.], Bhalla, R.[Rakesh], Basra, A.[Anshul],
Acoustic Modality Based Hybrid Deep 1D CNN-BiLSTM Algorithm for Moving Vehicle Classification,
ITS(23), No. 9, September 2022, pp. 16206-16216.
IEEE DOI 2209
Feature extraction, Convolutional neural networks, Support vector machines, Acoustics, Kernel, Convolution, vehicle classification BibRef

Wang, C.Y.[Chao-Yi], Song, Y.Z.[Yao-Zhe], Liu, H.L.[Hao-Long], Liu, H.W.[Hua-Wei], Liu, J.[Jianpo], Li, B.Q.[Bao-Qing], Yuan, X.B.[Xia-Bing],
Real-Time Vehicle Sound Detection System Based on Depthwise Separable Convolution Neural Network and Spectrogram Augmentation,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Mohaimenuzzaman, M.[Md], Bergmeir, C.[Christoph], West, I.[Ian], Meyer, B.[Bernd],
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices,
PR(133), 2023, pp. 109025.
Elsevier DOI 2210
Deep learning, Audio classification, Environmental sound classification, Acoustics, Edge-AI BibRef

Anemüller, C.[Carlotta], Thiergart, O.[Oliver], Habets, E.A.P.[Emanuël A. P.],
A Data-Driven Approach to Audio Decorrelation,
SPLetters(29), 2022, pp. 2477-2481.
IEEE DOI 2212
Decorrelation, Training, Convolution, Time-frequency analysis, Neural networks, Time-domain analysis, Correlation, deep learning BibRef

Tan, H.Y.[Hao-Yu], Liu, G.C.[Guo-Chang], Li, H.X.[Hao-Xuan], Zhang, G.J.[Guo-Jun], Cui, J.G.[Jian-Gong], Yang, Y.H.[Yu-Hua], He, C.D.[Chang-De], Jia, L.C.[Li-Cheng], Zhang, W.D.[Wen-Dong], Wang, R.[Renxin],
Research on Self-Noise Suppression of Marine Acoustic Sensor Arrays,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wang, Z.[Zhepei], Subakan, C.[Cem], Jiang, X.L.[Xi-Lin], Wu, J.K.[Jun-Kai], Tzinis, E.[Efthymios], Ravanelli, M.[Mirco], Smaragdis, P.[Paris],
Learning Representations for New Sound Classes With Continual Self-Supervised Learning,
SPLetters(29), 2022, pp. 2607-2611.
IEEE DOI 2301
Task analysis, Representation learning, Training, Self-supervised learning, Data models, Computational modeling, sound classification BibRef

Guo, M.[Meng],
Learning and Application of Feedback Path Database for Feedback Control in Hearing Aids,
SPLetters(29), 2022, pp. 2522-2526.
IEEE DOI 2301
Databases, Hearing aids, Acoustics, Feedback control, Ear, Convergence, Steady-state, Adaptive filters, feedback control, feedback path, learning BibRef

Wang, Y.[Yao], Yang, J.[Jing], Zhang, Q.L.[Qi-Lin], Zeng, J.Q.[Jin-Quan], Mu, B.[Boyi], Du, J.Z.[Jun-Zhi], Li, Z.K.[Zhe-Kai], Shao, Y.H.[Yu-Hui], Wang, J.L.[Jia-Lei], Li, Z.X.[Zhou-Xin],
Application of Combined Filtering in Thunder Recognition,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Ammari, H.[Habib], Davies, B.[Bryn],
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology,
SIIMS(16), No. 1, 2023, pp. 64-88.
DOI Link 2301
BibRef

Zhu, S.[Shan], Zhang, G.J.[Guo-Jun], Wu, D.[Daiyue], Jia, L.[Li], Zhang, Y.F.[Yi-Fan], Geng, Y.[Yanan], Liu, Y.[Yan], Ren, W.R.[Wei-Rong], Zhang, W.D.[Wen-Dong],
High Signal-to-Noise Ratio MEMS Noise Listener for Ship Noise Detection,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Grassucci, E.[Eleonora], Mancini, G.[Gioia], Brignone, C.[Christian], Uncini, A.[Aurelio], Comminiello, D.[Danilo],
Dual quaternion ambisonics array for six-degree-of-freedom acoustic representation,
PRL(166), 2023, pp. 24-30.
Elsevier DOI 2302
Dual quaternions, Quaternion neural networks, Quaternion ambisonics signals, Dual quaternion neural networks BibRef

Wilson, T.C.[Trevor C.], Petrin, C.E.[Christopher E.], Elbing, B.R.[Brian R.],
Infrasound and Low-Audible Acoustic Detections from a Long-Term Microphone Array Deployment in Oklahoma,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Pásztor, M.[Marcell], Czanik, C.[Csenge], Bondár, I.[István],
A Single Array Approach for Infrasound Signal Discrimination from Quarry Blasts via Machine Learning,
RS(15), No. 6, 2023, pp. 1657.
DOI Link 2304
BibRef

Liu, S.[Shuai], Fu, X.M.[Xiao-Mei], Xu, H.[Hong], Zhang, J.L.[Jia-Li], Zhang, A.[Anmin], Zhou, Q.J.[Qing-Ji], Zhang, H.[Hao],
A Fine-Grained Ship-Radiated Noise Recognition System Using Deep Hybrid Neural Networks with Multi-Scale Features,
RS(15), No. 8, 2023, pp. 2068.
DOI Link 2305
BibRef

Li, Y.X.[Yu-Xing], Liang, L.[Lili], Zhang, S.[Shuai],
Hierarchical Refined Composite Multi-Scale Fractal Dimension and Its Application in Feature Extraction of Ship-Radiated Noise,
RS(15), No. 13, 2023, pp. 3406.
DOI Link 2307
BibRef

Kratky, A.[Andreas], Hwang, J.[Juri],
Inner Voices: Reflexive Augmented Listening,
VAMR23(233-252).
Springer DOI 2307
BibRef

Silber, E.A.[Elizabeth A.], Bowman, D.C.[Daniel C.],
Isolating the Source Region of Infrasound Travel Time Variability Using Acoustic Sensors on High-Altitude Balloons,
RS(15), No. 14, 2023, pp. 3661.
DOI Link 2307
BibRef

Yang, J.Y.[Jing-Yuan], Zhang, Y.D.[Yu-Dong],
APPSO-NN: An adaptive-probability particle swarm optimization neural network for sensorineural hearing loss detection,
IET-Bio(12), No. 4, 2023, pp. 211-221.
DOI Link 2308
medical image processing, pattern classification BibRef

Giampiccolo, R.[Riccardo], Mezza, A.I.[Alessandro Ilic], Bernardini, A.[Alberto], Sarti, A.[Augusto],
Virtual Bass Enhancement via Music Demixing,
SPLetters(30), 2023, pp. 908-912.
IEEE DOI 2308
Signal processing algorithms, Time-domain analysis, Harmonic analysis, Psychoacoustics, Pipelines, perceptual test BibRef

Zhao, Y.J.[Yan-Jie], Cheng, J.[Jin], Wang, S.H.[Shao-Hua], Qin, L.[Lei], Zhang, X.[Xueyan],
Spatiotemporal Analytics of Environmental Sounds and Influencing Factors Based on Urban Sensor Network Data,
IJGI(12), No. 9, 2023, pp. 386.
DOI Link 2310
BibRef

Cheng, G.X.[Gui-Xian], Yang, B.[Bohan], Xu, W.[Weikai], Cai, G.[Guofa], Dai, Z.[Zhou],
An Anti-Eavesdropping Scheme Based on OFDM-IM Using Artificial Noise,
SPLetters(30), 2023, pp. 1347-1351.
IEEE DOI 2310
BibRef

Park, S.W.[Sang-Wook], Han, D.K.[David K.], Elhilali, M.[Mounya],
Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures,
MultMed(25), 2023, pp. 4573-4585.
IEEE DOI 2310
BibRef

Vincent, F.[François], Besson, O.[Olivier], Gigleux, B.[Benjamin], Chaumette, E.[Eric],
An Improved Fast Estimation of Single Frequency,
SPLetters(30), 2023, pp. 1222-1226.
IEEE DOI 2310
BibRef

Feng, R.[Rui], Xu, J.[Jian], Jin, K.K.[Kang-Kang], Xu, L.[Luochuan], Liu, Y.[Yi], Chen, D.[Dan], Chen, L.[Linglong],
An Automatic Deep Learning Bowhead Whale Whistle Recognizing Method Based on Adaptive SWT: Applying to the Beaufort Sea,
RS(15), No. 22, 2023, pp. 5346.
DOI Link 2311
BibRef

Chen, L.H.[Li-Hui], Xia, S.H.[Shao-Hong],
Sensing Human Activity of the Guangdong-Hong Kong-Macao Greater Bay Area by Ambient Seismic Noise,
RS(15), No. 22, 2023, pp. 5340.
DOI Link 2311
BibRef

Schwär, S.[Simon], Müller, M.[Meinard],
Multi-Scale Spectral Loss Revisited,
SPLetters(30), 2023, pp. 1712-1716.
IEEE DOI 2312
Audio signal compare BibRef

Li, P.[Pu], Roch, M.A.[Marie A.], Klinck, H.[Holger], Fleishman, E.[Erica], Gillespie, D.[Douglas], Nosal, E.M.[Eva-Marie], Shiu, Y.[Yu], Liu, X.B.[Xiao-Bai],
Learning Stage-Wise GANs for Whistle Extraction in Time-Frequency Spectrograms,
MultMed(25), 2023, pp. 9302-9314.
IEEE DOI 2312
BibRef

Madhu, A.[Aswathy], Suresh, K.,
RQNet: Residual Quaternion CNN for Performance Enhancement in Low Complexity and Device Robust Acoustic Scene Classification,
MultMed(25), 2023, pp. 8780-8792.
IEEE DOI 2312
BibRef

Li, Y.X.[Yan-Xiong], Cao, W.[Wenchang], Xie, W.[Wei], Li, J.L.[Jia-Long], Benetos, E.[Emmanouil],
Few-Shot Class-Incremental Audio Classification Using Dynamically Expanded Classifier With Self-Attention Modified Prototypes,
MultMed(26), 2024, pp. 1346-1360.
IEEE DOI 2402
Training, Prototypes, Power capacitors, Vocabulary, Task analysis, Neural networks, Feature extraction, Audio classification, self-attention mechanism BibRef

Song, R.P.[Rui-Ping], Feng, X.[Xiao], Wang, J.F.[Jun-Feng], Sun, H.X.[Hai-Xin], Zhou, M.Z.[Ming-Zhang], Esmaiel, H.[Hamada],
Underwater Acoustic Nonlinear Blind Ship Noise Separation Using Recurrent Attention Neural Networks,
RS(16), No. 4, 2024, pp. 653.
DOI Link 2402
BibRef

Välimäki, V.[Vesa], Prawda, K.[Karolina], Schlecht, S.J.[Sebastian J.],
Two-Stage Attenuation Filter for Artificial Reverberation,
SPLetters(31), 2024, pp. 391-395.
IEEE DOI 2402
IIR filters, Attenuation, Gain, Band-pass filters, Delays, Delay lines, Reverberation, Acoustic signal processing, audio systems, room acoustics BibRef

Jiang, P.X.[Peng-Xu], Yang, Y.[Yang], Zou, C.R.[Cai-Rong], Wang, Q.Y.[Qing-Yun],
An Attention-Based Time-Frequency Pyramid Pooling Strategy in Deep Convolutional Networks for Acoustic Scene Classification,
SPLetters(31), 2024, pp. 296-300.
IEEE DOI 2402
Time-frequency analysis, Feature extraction, Convolution, Complexity theory, Task analysis, Scene classification, low complexity ASC BibRef

Ooi, K.[Kenneth], Ong, Z.T.[Zhen-Ting], Watcharasupat, K.N.[Karn N.], Lam, B.[Bhan], Hong, J.Y.[Joo Young], Gan, W.S.[Woon-Seng],
ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes,
AffCom(15), No. 1, January 2024, pp. 105-120.
IEEE DOI 2403
BibRef
And: Corrigendum: AffCom(16), No. 2, April 2025, pp. 1260-1260.
IEEE DOI 2506
Acoustics, Urban areas, Recording, Benchmark testing, Protocols, Databases, Task analysis, Auditory masking, dataset, soundscape augmentation BibRef

Vielhaben, J.[Johanna], Lapuschkin, S.[Sebastian], Montavon, G.[Grégoire], Samek, W.[Wojciech],
Explainable AI for time series via Virtual Inspection Layers,
PR(150), 2024, pp. 110309.
Elsevier DOI 2403
Interpretability, Explainable Artificial Intelligence, Time series, Discrete Fourier Transform, Audio classification BibRef

Li, X.M.[Xiao-Min], Li, X.R.[Xin-Ran], Gu, S.M.[Shu-Ming], Li, J.Y.[Jing-Yi],
A Cooperative Target Search and Rescue Guidance System Design Based on Acoustic Spectrum Analysis,
CVIDL23(541-544)
IEEE DOI 2403
Wireless communication, Estimation, Prototypes, Position measurement, Acoustic measurements, Acoustics, search and rescue BibRef

Moliner, E.[Eloi], Fierro, L.[Leonardo], Wright, A.[Alec], Hämäläinen, M.S.[Matti S.], Välimäki, V.[Vesa],
Noise Morphing for Audio Time Stretching,
SPLetters(31), 2024, pp. 1144-1148.
IEEE DOI 2405
Noise, Transient analysis, Spectrogram, Vocoders, Time-frequency analysis, Task analysis, Interpolation, timbre BibRef

Haider, D.[Daniel], Lostanlen, V.[Vincent], Ehler, M.[Martin], Balazs, P.[Peter],
Instabilities in Convnets for Raw Audio,
SPLetters(31), 2024, pp. 1084-1088.
IEEE DOI 2405
Field-flow fractionation, Finite impulse response filters, Autocorrelation, Convolution, Eigenvalues and eigenfunctions, statistical learning BibRef

Huhtala, V.[Ville], Juvela, L.[Lauri], Schlecht, S.J.[Sebastian J.],
KLANN: Linearising Long-Term Dynamics in Nonlinear Audio Effects Using Koopman Networks,
SPLetters(31), 2024, pp. 1169-1173.
IEEE DOI 2405
Filters, Logic gates, Training, Time-domain analysis, Frequency-domain analysis, Discrete Fourier transforms, system identification BibRef

Thomas, P.J.[Peter J.], Heggelund, Y.[Yngve], Klepsvik, I.[Inge], Cook, J.[Jeremy], Kolltveit, E.[Erling], Vaa, T.[Torgeir],
The Performance of Distributed Acoustic Sensing for Tracking the Movement of Road Vehicles,
ITS(25), No. 6, June 2024, pp. 4933-4946.
IEEE DOI 2406
Roads, Optical fiber sensors, Optical fiber cables, Optical fibers, Backscatter, Signal to noise ratio, Radar, Distributed sensing, traffic monitoring BibRef

Lu, Z.[Zekai], Wang, J.[Jiale], Lian, J.[Jie], Wang, Y.M.[Ying-Min],
A Mode-Matching Approach for Acoustic Vortex Generation in Circular Array Configurations,
SPLetters(31), 2024, pp. 1590-1594.
IEEE DOI 2406
Acoustic arrays, Harmonic analysis, Acoustic field, Principal component analysis, Phased arrays, spherical harmonic expansion BibRef

Tsai, M.C.H.[Morris C.H.], Wu, H.C.[Hsiao-Chun], Huang, S.C.H.[Scott C.H.], Chang, S.Y.[Shih Yu],
Novel Audio Mosaic Using LPC-Coefficient and Excitation-Codeword Permutations,
SPLetters(31), 2024, pp. 1690-1694.
IEEE DOI 2407
Polynomials, Statistics, Sociology, Receivers, Linear predictive coding, Encryption, Discrete cosine transforms BibRef

Zhu, T.[Taohua], Qian, G.B.[Guo-Bing],
Double Branches and Stages Neural Network for Joint Acoustic Echo and Noise Suppression,
SPLetters(31), 2024, pp. 2150-2154.
IEEE DOI 2409
Convolution, Logic gates, Time-frequency analysis, Microphones, Long short term memory, Acoustics, Neural networks, single-channel BibRef

Wang, F.J.R.[Frank Jia-Rui], Abhayapala, T.D.[Thushara D.], Zhang, J.H.A.[Ji-Hui Aimee], Samarasinghe, P.N.[Prasanga N.],
Reproducing the Acoustic Velocity Vectors in a Spherical Listening Region,
SPLetters(31), 2024, pp. 2220-2224.
IEEE DOI 2409
Vectors, Loudspeakers, Harmonic analysis, Signal processing algorithms, Microphone arrays, Ambisonics, acoustic velocity vectors BibRef

Schlecht, S.J.[Sebastian J.], Scerbo, M.[Matteo], de Sena, E.[Enzo], Välimäki, V.[Vesa],
Modal Excitation in Feedback Delay Networks,
SPLetters(31), 2024, pp. 2690-2694.
IEEE DOI 2410
Delays, Shape, Delay lines, Transfer functions, Polynomials, Vectors, Time-domain analysis, Audio systems, modal analysis, polynomials, reverberation BibRef

Erol, M.H.[Mehmet Hamza], Senocak, A.[Arda], Feng, J.[Jiu], Chung, J.S.[Joon Son],
Audio Mamba: Bidirectional State Space Model for Audio Representation Learning,
SPLetters(31), 2024, pp. 2975-2979.
IEEE DOI 2411
Transformers, Spectrogram, Computational modeling, Training, Context modeling, Adaptation models, Standards, state space models BibRef

Sheng, M.J.[Meng-Jia], Miao, Y.C.[Yong-Chun], Li, Y.S.[Ying-Song], Liu, C.S.[Chun-Shan],
Overlapping Whistle-and-Click Separation for Whale Signals,
SPLetters(32), 2025, pp. 76-80.
IEEE DOI 2501
Whales, Time-frequency analysis, Anisotropic magnetoresistance, Vectors, Anisotropic, Tensors, Filtering, Chirp, Signal to noise ratio, whistle-and-click separation BibRef

Yoshinaga, T.[Tomoya], Tanaka, K.[Keitaro], Bando, Y.[Yoshiaki], Imoto, K.[Keisuke], Morishima, S.[Shigeo],
Onset-and-Offset-Aware Sound Event Detection via Differentiable Frame-to-Event Mapping,
SPLetters(32), 2025, pp. 186-190.
IEEE DOI 2501
sound event detection. Training, Posterior probability, Artificial neural networks, Probabilistic logic, Predictive models, Filtering, Event detection, sound event detection (SED) BibRef

Xu, G.J.[Guo-Jun], Qu, K.[Ke], Li, Z.[Zhanglong], Zhang, Z.X.[Zi-Xuan], Xu, P.[Pan], Gao, D.[Dongbao], Dai, X.D.[Xu-Dong],
Enhanced Inversion of Sound Speed Profile Based on a Physics-Inspired Self-Organizing Map,
RS(17), No. 1, 2025, pp. 132.
DOI Link 2501
BibRef

Chen, L.[Liangwei], Zhou, X.R.[Xi-Ren], Chen, Q.J.[Qiu-Ju], Xiong, F.[Fang], Chen, H.[Huanhuan],
Investigating the Effective Dynamic Information of Spectral Shapes for Audio Classification,
MultMed(27), 2025, pp. 1114-1126.
IEEE DOI 2503
Mel frequency cepstral coefficient, Data models, Spectral shape, Computational modeling, Feature extraction, Fitting, Music, echo state network BibRef

Yi, Q.[Qianglong], Xie, C.G.[Cheng-Gang], Guan, D.H.[Dong-Hai], Yuan, W.W.[Wei-Wei],
Man2Marine: Marine mammal sound classification in small samples by transfer learning from human sound data,
PRL(190), 2025, pp. 185-191.
Elsevier DOI 2503
Marine mammal, Bioacoustics, Transfer learning, Pre-training, Model distillation, Small samples BibRef

Li, M.T.[Meng-Tong], Zhuang, T.[Tao], Chen, K.[Kai], Zhong, J.X.[Jia-Xin], Lu, J.[Jing],
Deep Learning-Based Approach for Identification and Compensation of Nonlinear Distortions in Parametric Array Loudspeakers,
SPLetters(32), 2025, pp. 1455-1459.
IEEE DOI 2504
Nonlinear distortion, Acoustics, Ultrasonic imaging, Training, Power harmonic filters, Deep learning, Convolution, Loudspeakers, deep learning BibRef

Biernacki, P.[Pawel], Libal, U.[Urszula],
Nonlinear Schur-Type Audio Signal Parameterization for Convolutional Networks,
SPLetters(32), 2025, pp. 1665-1669.
IEEE DOI 2505
Vectors, Decorrelation, Convolutional neural networks, Signal processing algorithms, Feature extraction, Rotors, reflection coefficients BibRef

Jiang, X.H.[Xiao-Hang], Ai, Y.[Yang], Zheng, R.C.[Rui-Chen], Ling, Z.H.[Zhen-Hua],
A Streamable Neural Audio Codec With Residual Scalar-Vector Quantization for Real-Time Communication,
SPLetters(32), 2025, pp. 1645-1649.
IEEE DOI 2505
Codecs, Real-time systems, Quantization (signal), Training, Vectors, Decoding, Bit rate, Encoding, Low latency communication, real-time communication BibRef

Youn, J.[Jongsu], Jo, D.U.[Dae Ung], Seo, S.[Seungmo], Kim, S.[Sukhyun], Choi, J.W.[Jong-Won],
Generating visual-adaptive audio representation for audio recognition,
PRL(192), 2025, pp. 65-71.
Elsevier DOI 2505
Multimodal learning, Audiovisual learning, Contrastive learning, Audio classification BibRef

Zhao, R.[Ruoyu], Zhang, Y.S.[Yu-Shu], Ji, J.H.[Jun-Hao], Yi, S.[Shuang], Wen, W.Y.[Wen-Ying], Lan, R.[Rushi],
AES-AUDIO: An Encryption Scheme for Audio Supporting Differentiated Decryption,
MultMed(27), 2025, pp. 2268-2280.
IEEE DOI 2505
Encryption, Visualization, Usability, Technological innovation, Privacy, Oral communication, Image resolution, Standards, Protection, usability BibRef

Wang, Z.Y.[Zhen-Yu], Xu, X.W.[Xiao-Wei], Wang, X.D.[Xiao-Dong], Zhou, H.S.[Hua-Song],
GWO-GEA: A Black-box Method for Generating Audio Adversarial Examples,
ICIVC24(439-444)
IEEE DOI 2503
Adaptation models, Computational modeling, Closed box, Estimation, Optimization, Glass box, Convergence, voice adversarial attack BibRef

Huang, C.[Chao], Markovic, D.[Dejan], Xu, C.L.[Chen-Liang], Richard, A.[Alexander],
Modeling and Driving Human Body Soundfields Through Acoustic Primitives,
ECCV24(X: 1-17).
Springer DOI 2412
BibRef

Ma, J.[Jian], Wang, W.G.[Wen-Guan], Yang, Y.[Yi], Zheng, F.[Feng],
Mutual Learning for Acoustic Matching and Dereverberation via Visual Scene-driven Diffusion,
ECCV24(XVIII: 331-349).
Springer DOI 2412
BibRef

Li, T.[Tingle], Wang, R.[Renhao], Huang, P.Y.[Po-Yao], Owens, A.[Andrew], Anumanchipalli, G.[Gopala],
Self-supervised Audio-visual Soundscape Stylization,
ECCV24(LXXX: 20-40).
Springer DOI 2412
BibRef

Xie, J.Y.[Jun-Yu], Han, T.[Tengda], Bain, M.[Max], Nagrani, A.[Arsha], Varol, G.[Gül], Xie, W.[Weidi], Zisserman, A.[Andrew],
Autoad-zero: A Training-free Framework for Zero-shot Audio Description,
ACCV24(III: 81-97).
Springer DOI 2412
BibRef

Xie, Z.F.[Zhi-Feng], Yu, S.Y.[Sheng-Ye], He, Q.[Qile], Li, M.T.[Meng-Tian],
Sonic VisionLM: Playing Sound with Vision Language Models,
CVPR24(26856-26865)
IEEE DOI Code:
WWW Link. 2410
Visualization, Adaptation models, Computational modeling, Focusing, Transforms, Diffusion models, audio generation, multi-modal, vision-language model BibRef

Ratnarajah, A.[Anton], Ghosh, S.[Sreyan], Kumar, S.[Sonal], Chiniya, P.[Purva], Manocha, D.[Dinesh],
AV-RIR: Audio-Visual Room Impulse Response Estimation,
CVPR24(27154-27165)
IEEE DOI Code:
WWW Link. 2410
Measurement, Geometry, Visualization, Speech coding, Estimation, Speech enhancement, Multitasking, room impulse response, geo-mat BibRef

Chen, Z.Y.[Zi-Yang], Gebru, I.D.[Israel D.], Richardt, C.[Christian], Kumar, A.[Anurag], Laney, W.[William], Owens, A.[Andrew], Richard, A.[Alexander],
Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark,
CVPR24(21886-21896)
IEEE DOI 2410
Visualization, Computational modeling, Receivers, Benchmark testing, Data models, Acoustic field, neural acoustic field BibRef

Wang, M.L.[Mason Long], Sawata, R.[Ryosuke], Clarke, S.[Samuel], Gao, R.H.[Ruo-Han], Wu, S.Z.[Shang-Zhe], Wu, J.J.[Jia-Jun],
Hearing Anything Anywhere,
CVPR24(11790-11799)
IEEE DOI 2410
Reflectivity, Surface reconstruction, Rendering (computer graphics), Acoustics, Surface roughness, Sound Dataset BibRef

Chowdhury, S.[Sanjoy], Ghosh, S.[Sreyan], Dasgupta, S.[Subhrajyoti], Ratnarajah, A.[Anton], Tyagi, U.[Utkarsh], Manocha, D.[Dinesh],
AdVerb: Visually Guided Audio Dereverberation,
ICCV23(7850-7862)
IEEE DOI 2401
BibRef

Ríos, B.[Braulio], Martínez, E.[Emilio], Silvera, D.[Diego], Cancela, P.[Pablo], Capdehourat, G.[Germán],
Teaching Practices Analysis Through Audio Signal Processing,
CIARP23(I:133-147).
Springer DOI 2312
BibRef

Chen, C.[Changan], Richard, A.[Alexander], Shapovalov, R.[Roman], Ithapu, V.K.[Vamsi Krishna], Neverova, N.[Natalia], Grauman, K.[Kristen], Vedaldi, A.[Andrea],
Novel-View Acoustic Synthesis,
CVPR23(6409-6419)
IEEE DOI 2309
BibRef

Du, Y.X.[Yue-Xi], Chen, Z.Y.[Zi-Yang], Salamon, J.[Justin], Russell, B.[Bryan], Owens, A.[Andrew],
Conditional Generation of Audio from Video via Foley Analogies,
CVPR23(2426-2436)
IEEE DOI 2309
BibRef

Clarke, S.[Samuel], Gao, R.H.[Ruo-Han], Wang, M.[Mason], Rau, M.[Mark], Xu, J.[Julia], Wang, J.H.[Jui-Hsien], James, D.L.[Doug L.], Wu, J.J.[Jia-Jun],
REALIMPACT: A Dataset of Impact Sound Fields for Real Objects,
CVPR23(1516-1525)
IEEE DOI 2309
BibRef

Su, K.[Kun], Qian, K.[Kaizhi], Shlizerman, E.[Eli], Torralba, A.[Antonio], Gan, C.[Chuang],
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos,
CVPR23(9749-9759)
IEEE DOI 2309
BibRef

Martinez-Cañete, Y.[Yadisbel], Sahli, H.[Hichem], Berenguer, A.D.[Abel Díaz],
Multi-view Infant Cry Classification,
IbPRIA23(639-653).
Springer DOI 2307
BibRef

Zhang, Q.[Qiang], Yang, J.B.[Ji-Bin], Zhang, X.W.[Xiong-Wei], Cao, T.Y.[Tie-Yong],
Generating Adversarial Examples in Audio Classification with Generative Adversarial Network,
ICIVC22(848-853)
IEEE DOI 2301
Computational modeling, Generative adversarial networks, Acoustics, Complexity theory, generative adversarial network, audio classification BibRef

Yu, B.C.[Bao-Cheng], Liao, C.[Chuyuan], Xu, W.X.[Wen-Xia], Wei, M.[Ming], Lv, C.[Canjiong], Li, J.X.[Jia-Xin],
Environmental Sound Detection based on Acoustic Multidimensional Synergistic Features and MobileNet-EAL,
ICRVC22(234-238)
IEEE DOI 2301
Time-frequency analysis, Redundancy, Interference, Network architecture, Feature extraction, Acoustics, Leaky ReLU BibRef

Chen, B.Q.[Bing-Qing], Bondi, L.[Luca], Das, S.[Samarjit],
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection,
ICPR22(133-139)
IEEE DOI 2212
Training, Adaptation models, Working environment noise, Toy manufacturing industry, Detectors, Inference algorithms BibRef

Singh, N.[Nikhil], Mentch, J.[Jeff], Ng, J.[Jerry], Beveridge, M.[Matthew], Drori, I.[Iddo],
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis,
ICCV21(286-295)
IEEE DOI 2203
Teleconferencing, TV, Convolution, Neural networks, Music, Games, Production, Vision + other modalities, Vision applications and systems BibRef

Higham, D.[David], Bagla, A.[Ayush], Haralampieva, V.[Veneta],
A No-Reference model for Detecting Audio Artifacts using Pretrained Audio Neural Networks,
VAQuality22(9-13)
IEEE DOI 2202
Computational modeling, Conferences, Neural networks, Distortion BibRef

Ludovico, L.A.[Luca A.], Ntalampiras, S.[Stavros], Presti, G.[Giorgio], Cannas, S.[Simona], Battini, M.[Monica], Mattiello, S.[Silvana],
Catmeows: A Publicly-available Dataset of Cat Vocalizations,
MMMod21(II:230-243).
Springer DOI 2106
BibRef

Duan, B.[Bin], Wang, W.[Wei], Tang, H.[Hao], Latapie, H.[Hugo], Yan, Y.[Yan],
Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation,
ICPR21(1336-1343)
IEEE DOI 2105
Link audio with visual scene. Pediatrics, Neurology, Machine learning algorithms, Semantics, Psychology, Machine learning, Generative adversarial networks BibRef

Guzhov, A.[Andrey], Raue, F.[Federico], Hees, J.[Jörn], Dengel, A.[Andreas],
ESResNet: Environmental Sound Classification Based on Visual Domain Models,
ICPR21(4933-4940)
IEEE DOI 2105
Visualization, Time-frequency analysis, Fourier transforms, Focusing, Performance gain, Feature extraction, Reproducibility of results BibRef

Rocha, B.M.[Bruno M.], Pessoa, D.[Diogo], Marques, A.[Alda], Carvalho, P.[Paulo], Paiva, R.P.[Rui Pedro],
Influence of Event Duration on Automatic Wheeze Classification,
ICPR21(7462-7469)
IEEE DOI 2105
Open Access, Databases, Sensitivity and specificity, Acoustics, Classification algorithms, Audio and acoustic processing and analysis BibRef

Greco, A.[Antonio], Roberto, A.[Antonio], Saggese, A.[Alessia], Vento, M.[Mario],
Which are the factors affecting the performance of audio surveillance systems?,
ICPR21(7876-7883)
IEEE DOI 2105
Visualization, Time-frequency analysis, Surveillance, Benchmark testing, Streaming media, Visual databases, Security BibRef

Sallo, R.A.[Raymel Alfonso], Esmaeilpour, M.[Mohammad], Cardinal, P.[Patrick],
Adversarially Training for Audio Classifiers,
ICPR21(9569-9576)
IEEE DOI 2105
Training, Deep learning, Target recognition, Perturbation methods, Neural networks, Robustness, Discrete wavelet transforms, Adversarially Training BibRef

Giacalone, G.[Giovanni], Lo Bosco, G.[Giosué], Barra, M.[Marco], Bonanno, A.[Angelo], Buscaino, G.[Giuseppa], Noormets, R.[Riko], Nuth, C.[Christopher], Calabrò, M.[Monica], Basilone, G.[Gualtiero], Genovese, S.[Simona], Fontana, I.[Ignazio], Mazzola, S.[Salvatore], Rizzo, R.[Riccardo], Aronica, S.[Salvatore],
Pattern Classification from Multi-beam Acoustic Data Acquired in Kongsfjorden,
MAES20(55-64).
Springer DOI 2103
BibRef

Papapanagiotou, V.[Vasileios], Diou, C.[Christos], van den Boer, J.[Janet], Mars, M.[Monica], Delopoulos, A.[Anastasios],
Recognition of Food-texture Attributes Using an In-ear Microphone,
MADiMa20(558-570).
Springer DOI 2103
BibRef

Dubey, R., Bharadwaj, S., Zafar, M.I., Sharma, V.B.[V. Bhushan], Biswas, S.,
Collaborative Noise Mapping Using Smartphone,
ISPRS20(B4:253-260).
DOI Link 2012
Road traffic noise. BibRef

Sanguineti, V.[Valentina], Morerio, P.[Pietro], Pozzetti, N.[Niccolò], Greco, D.[Danilo], Cristani, M.[Marco], Murino, V.[Vittorio],
Leveraging Acoustic Images for Effective Self-supervised Audio Representation Learning,
ECCV20(XXII:119-135).
Springer DOI 2011
BibRef

Kadmiri, I.E., Elamri, F.Z., Ben-Ali, Y., Khaled, A., Miad, A.K.E., Bria, D.,
Induced guided acoustic waves by the presence of a defective guide in one dimensional asymmetric loop phononic crystal,
ISCV20(1-8)
IEEE DOI 2011
acoustic filters, acoustic wave effects, elastic waves, Green's function methods, localised states, periodic structures, Asymmetric loops (ASLS) BibRef

San Juan, E.[Enrique], Firoozabadi, A.D.[Ali Dehghan], Soto, I.[Ismael], Adasme, P.[Pablo], Cañete, L.[Lucio],
Proposed Integration Algorithm to Optimize the Separation of Audio Signals Using the Ica and Wavelet Transform,
ICISP20(367-376).
Springer DOI 2009
BibRef

Ramaswamy, J.[Janani], Das, S.[Sukhendu],
See the Sound, Hear the Pixels,
WACV20(2959-2968)
IEEE DOI 2006
Visualization, Feature extraction, Helicopters, Task analysis, Streaming media, Fuses, Gold BibRef

Zhao, H., Gan, C., Ma, W., Torralba, A.B.,
The Sound of Motions,
ICCV19(1735-1744)
IEEE DOI 2004
acoustic signal processing, audio signal processing, learning (artificial intelligence), music, musical acoustics, Integrated optics BibRef

Gao, R., Grauman, K.,
Co-Separating Sounds of Visual Objects,
ICCV19(3878-3887)
IEEE DOI 2004
audio signal processing, neural nets, signal denoising, source separation, video signal processing, visual objects, Object detection BibRef

Hu, D.[Di], Nie, F.P.[Fei-Ping], Li, X.L.[Xue-Long],
Deep Multimodal Clustering for Unsupervised Audiovisual Learning,
CVPR19(9240-9249).
IEEE DOI 2002
What makes what sound. BibRef