On Factorizing Spectral Dynamics for Robust Speech Recognition
| Type of publication: | Conference paper |
| Citation: | vivek-rr-03-32b |
| Booktitle: | Eurospeech |
| Year: | 2003 |
| Note: | IDIAP RR 03-32 |
| Crossref: | vivek-rr-03-32: |
| 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}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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