The reverb challenge: A common evaluation framework for dereverberation and recognition of reverberant speech

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 ins...

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Bibliographic Details
Main Authors: Kinoshita, Keisuke, Delcroix, Marc, Yoshioka, Takuya, Nakatani, Tomohiro, Habets, Emanuel, Haeb-Umbach, Reinhold, Leutnant, Volker, Sehr, Armin, Kellermann, Walter, Maas, Roland, Gannot, Sharon, Raj, Bhiksha
Format: Conference Proceeding
Language:English
Subjects:
ASR
challenge
dereverberation
evaluation
Noise measurement
Reverberant speech
Reverberation
Speech
Speech enhancement
Speech recognition
Training
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Summary: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.
ISSN:1931-1168
1947-1629
DOI:10.1109/WASPAA.2013.6701894