The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Deep Scattering Spectrum
Open accessAbstract
A scattering transform defines a locally translation invariant representation which is stable to time-warping deformation. It extends MFCC representations by computing modulation spectrum coefficients of multiple orders, through cascades of wavelet convolutions and modulus operators. Second-order scattering coefficients characterize transient phenomena such as attacks and amplitude modulation. A frequency transposition invariant representation is obtained by applying a scattering transform along log-frequency. State-the-of-art classification results are obtained for musical genre and phone classification on GTZAN and TIMIT databases, respectively.
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Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
A Wavelet Tour of Signal Processing
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Hinton, G., Deng, L., Yu, D., Dahl, G., Mohamed, A.-R., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T., et al. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2012.2205597 · Cited by 10,260
Libsvm : A library for support vector machines
Ferrari, V. (2008) · Medical Entomology and Zoology · Cited by 10,122
Speech recognition with deep recurrent neural networks
Graves, A., Mohamed, A.-R., & Hinton, G. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.2013.6638947 · Cited by 8,893
Davis, S., & Mermelstein, P. (1980) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1980.1163420 · Cited by 5,465
An iterative technique for the rectification of observed distributions
Lucy, L. B. (1974) · The Astronomical Journal · doi:10.1086/111605 · Cited by 3,866 · cited 1×
“To take advantage of the fact that , the deconvolution is computed with the Richardson-Lucy algorithm [34], which preserves positivity if .”
MethodContext-dependent pre-trained deep neural networks for large-vocabulary speech recognition
Dahl, G. E., Yu, D., Deng, L., & Acero, A. (2012) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2011.2134090 · Cited by 3,011
Musical genre classification of audio signals
Tzanetakis, G., & Cook, P. (2002) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/tsa.2002.800560 · Cited by 2,798
Convolutional networks and applications in vision
LeCun, Y., Kavukcuoglu, K., & Farabet, C. (2010) · Proceedings of 2010 IEEE International Symposium on Circuits and Systems · doi:10.1109/iscas.2010.5537907 · Cited by 2,213
Cited by
A time delay neural network architecture for efficient modeling of long temporal contexts
Peddinti, V., Povey, D., & Khudanpur, S. (2015) · Interspeech 2015 · doi:10.21437/interspeech.2015-647 · Cited by 986
Understanding deep convolutional networks
Mallat, S. (2016) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2015.0203 · Cited by 688
Self-citationA multi-stage transfer learning strategy for diagnosing a class of rare laryngeal movement disorders
Yao, Y., Powell, M., White, J., Feng, J., Fu, Q., Zhang, P., & Schmidt, D. C. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107534 · Cited by 10
Metadata
- Authors
- Anden, J., & Mallat, S.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2014-08
- Volume
- 62
- Issue
- 16
- Pages
- 4114-4128
- ISSN
- 1053-587X (ISSN-L)
- 1941-0476
- OpenAlex
- W2093231248
- Cited by
- 666
- References
- 38
- FWCI
- 41.37
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.