A new concept for feature-domain dereverberation for robust distant-talking ASR

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Sehr A, Kellermann W
Publication year: 2007
Volume: 4
Pages range: IV-369-IV-372
ISBN: 1-4244-0727-3
ISSN: 1520-6149
Language: English


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.


FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Sehr, Armin Dr.-Ing.
Professur für Nachrichtentechnik


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.

BibTeX: 

Last updated on 2019-24-05 at 22:08