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 [BibTeX] [Marc21]
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},
Projects Idiap
Authors Thomas, Samuel
Ganapathy, Sriram
Hermansky, Hynek
Added by: [UNK]
Total mark: 0
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