On the Combination of Auditory and Modulation Frequency Channels for ASR applications
| Type of publication: | Idiap-RR |
| Citation: | valente:rr08-12 |
| Number: | Idiap-RR-12-2008 |
| Year: | 2008 |
| Institution: | IDIAP |
| Note: | Published in Interspeech 2008 |
| Abstract: | This paper investigates the combination of evidence coming from different frequency channels obtained filtering the speech signal at different auditory and modulation frequencies. In our previous work \cite{icassp2008}, we showed that combination of classifiers trained on different ranges of {\it modulation} frequencies is more effective if performed in sequential (hierarchical) fashion. In this work we verify that combination of classifiers trained on different ranges of {\it auditory} frequencies is more effective if performed in parallel fashion. Furthermore we propose an architecture based on neural networks for combining evidence coming from different auditory-modulation frequency sub-bands that takes advantages of previous findings. This reduces the final WER by 6.2\% (from 45.8\% to 39.6\%) w.r.t the single classifier approach in a LVCSR task. |
| Userfields: | ipdmembership={speech}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Crossref by |
valente:Interspeech2:2008 |
| Added by: | [UNK] |
| Total mark: | 0 |
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