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The reverb challenge: A common evaluation framework for dereverberation and recognition of reverberant speech
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.
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Cited by
Kinoshita, K., Delcroix, M., Gannot, S., P. Habets, E. A., Haeb-Umbach, R., Kellermann, W., Leutnant, V., Maas, R., Nakatani, T., Raj, B., et al. (2016) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/s13634-016-0306-6 · Cited by 357
Self-citationMysore, G. J. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2014.2379648 · Cited by 81
(2017) · doi:10.7488/ds/1994 · Cited by 35
Ravanelli, M., & Omologo, M. (2014) · Interspeech 2014 · doi:10.21437/interspeech.2014-268 · Cited by 22
Metadata
- Authors
- 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.
- Venue
- 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
- Publisher
- IEEE
- Published
- 2013-10
- Pages
- 1-4
- OpenAlex
- W1989314204
- Cited by
- 376
- References
- 0
- FWCI
- 31.71
- Type
- conference paper
- Language
- en
- Open access
- closed
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- The paper
- 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). The reverb challenge: A common evaluation framework for dereverberation and recognition of reverberant speech. 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. https://doi.org/10.1109/waspaa.2013.6701894
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