A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

Journal article
(Original article)


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
Journal: Eurasip Journal on Advances in Signal Processing
Publication year: 2016
Volume: 2016
Journal issue: 1
Pages range: 1-19
ISSN: 1687-6180


Abstract


In recent years, 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 that are robust to reverberation. In this paper, we describe the REVERB challenge, which is an evaluation campaign that was designed to evaluate such speech enhancement (SE) and ASR techniques to reveal the state-of-the-art techniques and obtain new insights regarding potential future research directions. Even though most existing benchmark tasks and challenges for distant speech processing focus on the noise robustness issue and sometimes only on a single-channel scenario, a particular novelty of the REVERB challenge is that it is carefully designed to test robustness against reverberation, based on both real, single-channel, and multichannel recordings. This challenge attracted 27 papers, which represent 25 systems specifically designed for SE purposes and 49 systems specifically designed for ASR purposes. This paper describes the problems dealt within the challenge, provides an overview of the submitted systems, and scrutinizes them to clarify what current processing strategies appear effective in reverberant speech processing.



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
Carnegie Mellon University
Nippon Telegraph and Telephone (NTT) / 日本電信電話株式会社
Ostbayerische Technische Hochschule Regensburg (OTH)
Universität Paderborn


How to cite

APA:
Kinoshita, K., Delcroix, M., Gannot, S., Habets, E., Haeb-Umbach, R., Kellermann, W.,... Yoshioka, T. (2016). A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. Eurasip Journal on Advances in Signal Processing, 2016(1), 1-19. https://dx.doi.org/10.1186/s13634-016-0306-6

MLA:
Kinoshita, Keisuke, et al. "A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research." Eurasip Journal on Advances in Signal Processing 2016.1 (2016): 1-19.

BibTeX: 

Last updated on 2018-07-08 at 01:54