24.1.15 Acoustic Signals, Sounds

Lopes, P.A.C., Gerald, J.A.B.,
A Close to Optimal Adaptive Filter for Sudden System Changes,
SPLetters(24), No. 11, November 2017, pp. 1734-1738.
IEEE DOI 1710
Adaptation models, Approximation algorithms, Mathematical model, Noise measurement, Probability density function, Gaussian sum, Kalman filter (KF), impulsive noise, least mean squares (LMS), optimal filtering, sudden changes, variable, step, size BibRef

Jancovic, P., Kokuer, M.,
Acoustic Recognition of Multiple Bird Species Based on Penalized Maximum Likelihood,
SPLetters(22), No. 10, October 2015, pp. 1585-1589.
IEEE DOI 1506
Markov processes BibRef

Han, T.J.[Taek-Jin], Kim, K.J.[Ki-Jun], Park, H.[Hochong],
Location Estimation of Predominant Sound Source with Embedded Source Separation in Amplitude-Panned Stereo Signal,
SPLetters(22), No. 10, October 2015, pp. 1685-1688.
IEEE DOI 1506
audio signal processing BibRef

Comminiello, D., Cecchi, S., Scarpiniti, M., Gasparini, M., Romoli, L., Piazza, F., Uncini, A.,
Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction,
MultMed(17), No. 8, August 2015, pp. 1262-1272.
IEEE DOI 1506
Acoustics BibRef

Yao, S.S.[Shan-Shan], Wang, Y.S.[Yun-Sheng], Niu, B.[Baoning],
An Efficient Cascaded Filtering Retrieval Method for Big Audio Data,
MultMed(17), No. 9, September 2015, pp. 1450-1459.
IEEE DOI 1509
Internet BibRef

Foggia, P.[Pasquale], Petkov, N.[Nicolai], Saggese, A.[Alessia], Strisciuglio, N.[Nicola], Vento, M.[Mario],
Reliable detection of audio events in highly noisy environments,
PRL(65), No. 1, 2015, pp. 22-28.
Elsevier DOI 1511
BibRef
Earlier: A1, A3, A4, A5, Only:
Cascade classifiers trained on gammatonegrams for reliably detecting audio events,
AVSS14(50-55)
IEEE DOI 1411
Audio surveillance. Auditory system BibRef

Foggia, P., Saggese, A., Strisciuglio, N., Vento, M., Petkov, N.,
Car crashes detection by audio analysis in crowded roads,
AVSS15(1-6)
IEEE DOI 1511
audio signal processing BibRef

Saggese, A.[Alessia], Strisciuglio, N.[Nicola], Vento, M.[Mario], Petkov, N.[Nicolai],
Time-frequency analysis for audio event detection in real scenarios,
AVSS16(438-443)
IEEE DOI 1611
Event detection BibRef

Beltrán, J.[Jessica], Chávez, E.[Edgar], Favela, J.[Jesús],
Scalable identification of mixed environmental sounds, recorded from heterogeneous sources,
PRL(68, Part 1), No. 1, 2015, pp. 153-160.
Elsevier DOI 1512
Sound event classification BibRef

Zhong, Z.[Zhang], Suzuki, J., Miyake, T., Kondou, H., Enastu, K.,
Study on water leak detection using wavelet instantaneous cross-correlation,
ICWAPR15(133-137)
IEEE DOI 1511
acoustic signal processing BibRef

Kelly, D., Caulfield, B.,
Pervasive Sound Sensing: A Weakly Supervised Training Approach,
Cyber(46), No. 1, January 2016, pp. 123-135.
IEEE DOI 1601
Feature extraction BibRef

Zheng, C., Hofmann, C., Li, X., Kellermann, W.,
Analysis of Additional Stable Gain by Frequency Shifting for Acoustic Feedback Suppression using Statistical Room Acoustics,
SPLetters(23), No. 1, January 2016, pp. 159-163.
IEEE DOI 1601
Acoustics BibRef

Trevino, J.[Jorge], Sakamoto, S.[Shuichi], Li, J.F.[Jun-Feng], Suzuki, Y.[Yôiti],
Enhancing Stereo Signals with High-Order Ambisonics Spatial Information,
IEICE(E99-D), No. 1, January 2016, pp. 41-49.
WWW Link. 1601
BibRef

Ávila, F.R., Carvalho, H.T., Biscainho, L.W.P.,
Bayesian Blind Identification of Nonlinear Distortion with Memory for Audio Applications,
SPLetters(23), No. 4, April 2016, pp. 414-418.
IEEE DOI 1604
Bayes methods BibRef

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

Valero, M.L.[M. Luis], Mabande, E., Habets, E.A.P.[E. A. P.],
An Alternative Complexity Reduction Method for Partitioned-Block Frequency-Domain Adaptive Filters,
SPLetters(23), No. 5, May 2016, pp. 668-672.
IEEE DOI 1604
Acoustics 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

Salvati, D., Drioli, C., Foresti, G.L.,
Sound Source and Microphone Localization From Acoustic Impulse Responses,
SPLetters(23), No. 10, October 2016, pp. 1459-1463.
IEEE DOI 1610
acoustic generators 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

Wang, D.[Delin], Huang, W.[Wei], Garcia, H.[Heriberto], Ratilal, P.[Purnima],
Vocalization Source Level Distributions and Pulse Compression Gains of Diverse Baleen Whale Species in the Gulf of Maine,
RS(8), No. 11, 2016, pp. 881.
DOI Link 1612
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

Nathwani, K., Vincent, E., Illina, I.,
DNN Uncertainty Propagation Using GMM-Derived Uncertainty Features for Noise Robust ASR,
SPLetters(25), No. 3, March 2018, pp. 338-342.
IEEE DOI 1802
Acoustics, Computational modeling, Maximum likelihood decoding, Noise measurement, Training, Uncertainty, DNN acoustic model, uncertainty decoding 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

Nanni, L.[Loris], Aguiar, R.L.[Rafael L.], Costa, Y.M.G.[Yandre M.G.], Brahnam, S.[Sheryl], Silla Jr., C.N.[Carlos N.], Brattin, R.L.[Ricky L.], Zhao, Z.[Zhao],
Bird and whale species identification using sound images,
IET-CV(12), No. 2, March 2018, pp. 178-184.
DOI Link 1804
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

Vasundhara, Panda, G.[Ganapati], Puhan, N.B.,
A new evolving-update-based feedback cancellation scheme for hearing aids,
SIViP(12), No. 4, May 2018, pp. 731-738.
WWW Link. 1805
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

Hsu, S., Lee, C., Chang, P., Han, C., Fan, K.,
Local Wavelet Acoustic Pattern: A Novel Time-Frequency Descriptor for Birdsong Recognition,
MultMed(20), No. 12, December 2018, pp. 3187-3199.
IEEE DOI 1812
acoustic signal processing, cepstral analysis, convolution, discrete wavelet transforms, feature extraction, vector of locally aggregated descriptors (VLAD) 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

Bilbao, S., Politis, A., Hamilton, B.,
Local Time-Domain Spherical Harmonic Spatial Encoding for Wave-Based Acoustic Simulation,
SPLetters(26), No. 4, April 2019, pp. 617-621.
IEEE DOI 1903
Time-domain analysis, Acoustics, Encoding, Harmonic analysis, Finite difference methods, Receivers, ambisonics BibRef

Menzies, D., Fazi, F.M.,
Ambisonic Decoding for Compensated Amplitude Panning,
SPLetters(26), No. 3, March 2019, pp. 470-474.
IEEE DOI 1903
audio signal processing, decoding, Hi-Fi equipment, loudspeakers, sound reproduction, object-based method, exact method, CAP, 360 video 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

Renda, W.[William], Zhang, C.H.[Charlie H.],
Comparative Analysis of Firearm Discharge Recorded by Gunshot Detection Technology and Calls for Service in Louisville, Kentucky,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
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

Zhao, Y.C.[Yi-Chao], Su, Y.[Yi],
Sparse Recovery on Intrinsic Mode Functions for the Micro-Doppler Parameters Estimation of Small UAVs,
GeoRS(57), No. 9, September 2019, pp. 7182-7193.
IEEE DOI 1909
Micro-Doppler (m-D) effect, induced by the rotation of rotor blades, provides an important signature to discriminate between small unmanned aerial vehicles. Doppler effect, Rotors, Blades, Radar, Surveillance, Empirical mode decomposition, Feature extraction, sparse recovery (SR) BibRef

Garcia, H.A.[Heriberto A.], Couture, T.[Trenton], Galor, A.[Amit], Topple, J.M.[Jessica M.], Huang, W.[Wei], Tiwari, D.[Devesh], Ratilal, P.[Purnima],
Comparing Performances of Five Distinct Automatic Classifiers for Fin Whale Vocalizations in Beamformed Spectrograms of Coherent Hydrophone Array,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Halimeh, M.M., Huemmer, C., Kellermann, W.,
A Neural Network-Based Nonlinear Acoustic Echo Canceller,
SPLetters(26), No. 12, December 2019, pp. 1827-1831.
IEEE DOI 2001
acoustic signal processing, backpropagation, echo suppression, learning (artificial intelligence), network topology, Particle Filters 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

Batubara, M.[Mario], Yamamoto, M.Y.[Masa-Yuki],
Infrasound Observations of Atmospheric Disturbances Due to a Sequence of Explosive Eruptions at Mt. Shinmoedake in Japan on March 2018,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
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

Wang, X., Benesty, J., Chen, J., Cohen, I.,
Beamforming With Small-Spacing Microphone Arrays Using Constrained/Generalized LASSO,
SPLetters(27), 2020, pp. 356-360.
IEEE DOI 2004
Beamforming, white noise gain, directivity factor, signal-to-scattered-interference-ratio gain, LASSO 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

Spagnol, S.,
HRTF Selection by Anthropometric Regression for Improving Horizontal Localization Accuracy,
SPLetters(27), 2020, pp. 590-594.
IEEE DOI 2005
Predictive models, Azimuth, Databases, Computational modeling, Acoustic measurements, Market research, Anthropometry, sound localization 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, Computer architecture, 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

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

Ramsay, J., Chang, H.J.,
Body Pose Sonification for a View-Independent Auditory Aid to Blind Rock Climbers,
WACV20(3403-3410)
IEEE DOI 2006
Blindness, Task analysis, Skeleton, Cameras, Training, Biomedical monitoring, Rocks BibRef

Zhao, H., Gan, C., Ma, W., Torralba, A.,
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, C.H.[Chen-Hao], Hu, R.[Ruimin], Wang, X.C.[Xiao-Chen], Wu, T.Z.[Ting-Zhao], Li, D.S.[Deng-Shi],
Multi-step Coding Structure of Spatial Audio Object Coding,
MMMod20(I:666-678).
Springer DOI 2003
BibRef