The REVERB challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Kinoshita K, Delcroix M, Yoshioka T, Nakatani T, Habets E, Haeb-Umbach R, Leutnant V, Sehr A, Kellermann W, Maas R, Gannot S, Raj B
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2013
Pages range: 1-4
ISBN: 978-1-4799-0972-8
ISSN: 1947-1629
Language: English


Abstract


Recently, substantial progress has been made in the field of reverberant speech signal processing, including both single- and multichannel dereverberation techniques, and automatic speech recognition (ASR) techniques robust to reverberation. To evaluate state-of-the-art algorithms and obtain new insights regarding potential future research directions, we propose a common evaluation framework including datasets, tasks, and evaluation metrics for both speech enhancement and ASR techniques. The proposed framework will be used as a common basis for the REVERB (REverberant Voice Enhancement and Recognition Benchmark) challenge. This paper describes the rationale behind the challenge, and provides a detailed description of the evaluation framework and benchmark results. © 2013 IEEE.


FAU Authors / FAU Editors

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


External institutions
Hochschule für Technik und Wirtschaft Berlin (HTW)
Nippon Telegraph and Telephone (NTT) / 日本電信電話株式会社


How to cite

APA:
Kinoshita, K., Delcroix, M., Yoshioka, T., Nakatani, T., Habets, E., Haeb-Umbach, R.,... Raj, B. (2013). The REVERB challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech. In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (pp. 1-4). New Paltz, NY, US: Institute of Electrical and Electronics Engineers Inc..

MLA:
Kinoshita, Keisuke, et al. "The REVERB challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech." Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY Institute of Electrical and Electronics Engineers Inc., 2013. 1-4.

BibTeX: 

Last updated on 2019-26-04 at 11:08