Survey on approaches to speech recognition in reverberant environments

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Yoshioka T, Sehr A, Delcroix M, Kinoshita K, Maas R, Nakatani T, Kellermann W
Publication year: 2012
Pages range: 1-4
ISBN: 9780615700502
Language: English


Abstract


This paper overviews the state of the art in reverberant speech processing from the speech recognition viewpoint. First, it points out that the key to successful reverberant speech recognition is to account for long-term dependencies between reverberant observations obtained from consecutive time frames. Then, a diversity of approaches that exploit the long-term dependencies in various ways is described, ranging from signal and feature dereverberation to acoustic model compensation tailored to reverberation. A framework for classifying those approaches is presented to highlight similarities and differences between them. © 2012 APSIPA.


FAU Authors / FAU Editors

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


External institutions
Nippon Telegraph and Telephone (NTT) / 日本電信電話株式会社


How to cite

APA:
Yoshioka, T., Sehr, A., Delcroix, M., Kinoshita, K., Maas, R., Nakatani, T., & Kellermann, W. (2012). Survey on approaches to speech recognition in reverberant environments. (pp. 1-4). Los Angeles, US.

MLA:
Yoshioka, Takuya, et al. "Survey on approaches to speech recognition in reverberant environments." Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Los Angeles 2012. 1-4.

BibTeX: 

Last updated on 2018-17-10 at 10:23