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We introduce the joint time-frequency scattering transform, a time shift invariant descriptor of time-frequency structure for audio classification.
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S.B. Davis and P. Mermelstein, · 1980
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“The DARPA speech recognition research database: specifications and status,”
W.M. Fisher, G.R. Doddington, and K.M. Goudie-Marshall, · 1986
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“Improving word accuracy with gabor feature extraction.,”
M. Kleinschmidt and D. Gelbart, · 2002
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“A non-uniform modulation transform for audio coding with increased time resolution,”
J. Thompson and L. Atlas, · 2003
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“Multiresolution spectrotemporal analysis of complex sounds,”
T. Chi, P. Ru, and S. Shamma, · 2005
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“Discrimination of speech from nonspeech based on multiscale spectro-temporal modulations,”
N. Mesgarani, M. Slaney, and S. Shamma, · 2006
Cited alongside, same era.
“Hierarchical large-margin gaussian mixture models for phonetic classification,”
H. Chang and J. Glass, · 2007
Cited alongside, same era.
“Unsupervised feature learning for audio classification using convolutional deep belief networks,”
H. Lee, P. Pham, Y. Largman, , and A. Ng, · 2009
Cited alongside, same era.
“Convolutional networks and applications in vision,”
Y. LeCun, K. Kavukvuoglu, and C. Farabet, · 2010
Cited alongside, same era.
“Sound texture perception via statistics of the auditory periphery: evidence from sound synthesis,”
J. McDermott and E. Simoncelli, · 2011
Cited alongside, same era.
“LIBSVM: A library for support vector machines,”
C. Chang and C. Lin, · 2011
Later among the works it cites.
“Group invariant scattering,”
S. Mallat, · 2012
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“Audio texture synthesis with scattering moments,”
J. Bruna and S. Mallat, · 2013
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“Deep scattering spectrum,”
J. Andén and S. Mallat, · 2014
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