Hilbert Envelope Based Features for Far-Field Speech Recognition
| Type of publication: | Conference paper |
| Citation: | tsamuel:mlmi:2008 |
| Booktitle: | MLMI 2008 |
| Year: | 2008 |
| Note: | IDIAP-RR 08-42 |
| Crossref: | tsamuel:rr08-42: |
| Abstract: | Automatic speech recognition (ASR) systems, trained on speech signals from close-talking microphones, generally fail in recognizing far-field speech. In this paper, we present a Hilbert Envelope based feature extraction technique to alleviate the artifacts introduced by room reverberations. The proposed technique is based on modeling temporal envelopes of the speech signal in narrow sub-bands using Frequency Domain Linear Prediction (FDLP). ASR experiments on far-field speech using the proposed FDLP features show significant performance improvements when compared to other robust feature extraction techniques (average relative improvement of $43 \%$ in word error rate). |
| Userfields: | ipdmembership={speech}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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