A new concept for feature-domain dereverberation for robust distant-talking ASR
Sehr A, Kellermann W (2007)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2007
Book Volume: 4
Pages Range: IV-369-IV-372
Article Number: 4218114
Event location: Honolulu, HI
ISBN: 1-4244-0727-3
DOI: 10.1109/ICASSP.2007.366926
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. © 2007 IEEE.
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How to cite
APA:
Sehr, A., & Kellermann, W. (2007). A new concept for feature-domain dereverberation for robust distant-talking ASR. In Proceedings of the 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 (pp. IV-369-IV-372). Honolulu, HI, US.
MLA:
Sehr, Armin, and Walter Kellermann. "A new concept for feature-domain dereverberation for robust distant-talking ASR." Proceedings of the 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, Honolulu, HI 2007. IV-369-IV-372.
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