A New Concept for Feature-Domain Dereverberation for Robust Distant-Talking ASR

Author

Sehr, Armin ; Kellerman, W.

Author_Institution

Multimedia Commun. & Signal Process., Erlangen-Nuremberg Univ., Erlangen, Germany

Volume

4

fYear

2007

fDate

15-20 April 2007

Abstract

The feature-domain dereverberation capabilities of a novel approach for automatic speech recognition in reverberant environments are investigated in this paper. By combining a network of clean speech HMMs and a reverberation model, the most likely combination of the HMM output and the reverberation model output is found during decoding time by an extended version of the Viterbi algorithm. We show in this paper that the most likely HMM output represents a good estimate of the clean speech feature sequence and can be used as input to subsequent speech recognizers.

Keywords

Viterbi decoding; feature extraction; hidden Markov models; reverberation; speech coding; speech recognition; HMM; Viterbi algorithm; automatic speech recognition; decoding; feature-domain dereverberation; robust distant-talking ASR; speech feature sequence; Automatic speech recognition; Decoding; Hidden Markov models; Loudspeakers; Microphones; Reverberation; Robustness; Signal processing; Speech recognition; Viterbi algorithm; Viterbi decoding; dereverberation; distant-talking speech recognition; feature-domain processing; robust speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.366926

Filename

4218114