Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition
| Type of publication: | Idiap-RR |
| Citation: | sgarimel:rr08-25 |
| Number: | Idiap-RR-25-2008 |
| Year: | 2008 |
| Institution: | IDIAP |
| Abstract: | We propose a new auditory inspired feature extraction technique for automatic speech recognition (ASR). Features are extracted by filtering the temporal trajectory of spectral energies in each critical band of speech by a bank of finite impulse response (FIR) filters. Impulse responses of these filters are derived from a modified Gabor envelope in order to emulate asymmetries of the temporal receptive field (TRF) profiles observed in higher level auditory neurons. We obtain $11.4\% $ relative improvement in word error rate on OGI-Digits database and, $3.2\%$ relative improvement in phoneme error rate on TIMIT database over the MRASTA technique. |
| Userfields: | ipdmembership={speech}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Crossref by |
sgarimel:is:2008 |
| Added by: | [UNK] |
| Total mark: | 0 |
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