The REVERB Challenge: A Benchmark Task for Reverberation-Robust ASR Techniques

Article in Edited Volumes


Publication Details

Author(s): Kinoshita K, Delcroix M, Gannot S, Habets E, Haeb-Umbach R, Kellermann W, Leutnant V, Maas R, Nakatani T, Raj B, Sehr A, Yoshioka T
Editor(s): Shinji Watanabe, Marc Delcroix, Florian Metze, John R. Hershey
Title edited volumes: New Era for Robust Speech Recognition
Publisher: Springer International Publishing AG 2017
Publication year: 2017
Title of series: Exploiting Deep Learning
Pages range: 345 - 354
ISBN: 978-3-319-64680-0
Language: English


Abstract


The REVERB challenge is a benchmark task designed to evaluate reverberation-robust  automatic speech recognition techniques under various conditions. A particular novelty of the REVERB challenge database is that it comprises both real reverberant speech recordings and simulated reverberant speech, both of which include tasks to evaluate techniques for 1-, 2-, and 8-microphone situations. In this chapter, we describe the problem of reverberation and  characteristics of the REVERB challenge data, and finally briefly introduce some results and findings useful for reverberant speech processing in the current deep-neural-network era.



FAU Authors / FAU Editors

Habets, Emanuël Prof. Dr.
Professur für wahrnehmungsbasierte räumliche Audiosignalverarbeitung (AudioLabs) (Stiftungsprofessur)
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Maas, Roland Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


External institutions
Bar-Ilan University
Nippon Telegraph and Telephone (NTT) / 日本電信電話株式会社
Universität Paderborn


How to cite

APA:
Kinoshita, K., Delcroix, M., Gannot, S., Habets, E., Haeb-Umbach, R., Kellermann, W.,... Yoshioka, T. (2017). The REVERB Challenge: A Benchmark Task for Reverberation-Robust ASR Techniques. In Shinji Watanabe, Marc Delcroix, Florian Metze, John R. Hershey (Eds.), New Era for Robust Speech Recognition (pp. 345 - 354). Springer International Publishing AG 2017.

MLA:
Kinoshita, Keisuke, et al. "The REVERB Challenge: A Benchmark Task for Reverberation-Robust ASR Techniques." New Era for Robust Speech Recognition Ed. Shinji Watanabe, Marc Delcroix, Florian Metze, John R. Hershey, Springer International Publishing AG 2017, 2017. 345 - 354.

BibTeX: 

Last updated on 2018-11-08 at 01:41