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 [BibTeX] [Marc21]
Front-end for Far-field Speech Recognition based on Frequency Domain Linear Prediction
Type of publication: Idiap-RR
Citation: tsamuel:rr08-17
Number: Idiap-RR-17-2008
Year: 2008
Institution: IDIAP
Abstract: Automatic Speech Recognition (ASR) systems usually fail when they encounter speech from far-field microphone in reverberant environments. This is due to the application of short-term feature extraction techniques which do not compensate for the artifacts introduced by long room impulse responses. In this paper, we propose a front-end, based on Frequency Domain Linear Prediction (FDLP,',','), that tries to remove reverberation artifacts present in far-field speech. Long temporal segments of far-field speech are analyzed in narrow frequency sub-bands to extract FDLP envelopes and residual signals. Filtering the residual signals with gain normalized inverse FDLP filters result in a set of sub-band signals which are synthesized to reconstruct the signal back. ASR experiments on far-field speech data processed by the proposed front-end show significant improvements (relative reduction of $30 \%$ in word error rate) compared to other robust feature extraction techniques.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Ganapathy, Sriram
Thomas, Samuel
Hermansky, Hynek
Crossref by tsamuel:interspeech-1:2008
Added by: [UNK]
Total mark: 0
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