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

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 (2013)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2013

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 1-4

Article Number: 6701894

Event location: New Paltz, NY US

ISBN: 978-1-4799-0972-8

DOI: 10.1109/WASPAA.2013.6701894

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.

Authors with CRIS profile

Walter Kellermann Professur für Signalverarbeitung Roland Maas Professur für Signalverarbeitung

Involved external institutions

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

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.

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