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 [BibTeX] [Marc21]
Hilbert Envelope Based Features for Far-Field Speech Recognition
Type of publication: Idiap-RR
Citation: tsamuel:rr08-42
Number: Idiap-RR-42-2008
Year: 2008
Institution: IDIAP
Note: To appear in MLMI 2008
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},
Projects Idiap
Authors Thomas, Samuel
Ganapathy, Sriram
Hermansky, Hynek
Crossref by tsamuel:mlmi:2008
Added by: [UNK]
Total mark: 0
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