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 [BibTeX] [Marc21]
On Factorizing Spectral Dynamics for Robust Speech Recognition
Type of publication: Idiap-RR
Citation: vivek-rr-03-32
Number: Idiap-RR-32-2003
Year: 2003
Institution: IDIAP
Note: in proceedings of Eurospeech 2003
Abstract: In this paper, we introduce new dynamic speech features based on the modulation spectrum. These features, termed Mel-cepstrum Modulation Spectrum (MCMS,',','), map the time trajectories of the spectral dynamics into a series of slow and fast moving orthogonal components, providing a more general and discriminative range of dynamic features than traditional delta and acceleration features. The features can be seen as the outputs of an array of band-pass filters spread over the cepstral modulation frequency range of interest. In experiments, it is shown that, as well as providing a slight improvement in clean conditions, these new dynamic features yield a significant increase in speech recognition performance in various noise conditions when compared directly to the standard temporal derivative features and RASTA-PLP features.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Tyagi, Vivek
McCowan, Iain A.
Bourlard, Hervé
Misra, Hemant
Crossref by vivek-rr-03-32b
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Total mark: 0
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