{"date_updated":"2022-01-06T06:51:11Z","page":" 22-23 ","citation":{"ieee":"K. Kinoshita <i>et al.</i>, “The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech,” in <i> IEEE Workshop on Applications of Signal Processing to Audio and Acoustics </i>, 2013, pp. 22–23.","bibtex":"@inproceedings{Kinoshita_Delcroix_Yoshioka_Nakatani_Habets_Haeb-Umbach_Leutnant_Sehr_Kellermann_Maas_et al._2013, title={The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech}, booktitle={ IEEE Workshop on Applications of Signal Processing to Audio and Acoustics }, author={Kinoshita, Keisuke and Delcroix, Marc and Yoshioka, Takuya and Nakatani, Tomohiro and Habets, Emanuel and Haeb-Umbach, Reinhold and Leutnant, Volker and Sehr, Armin and Kellermann, Walter and Maas, Roland and et al.}, year={2013}, pages={22–23} }","mla":"Kinoshita, Keisuke, et al. “The Reverb Challenge: A Common Evaluation Framework for Dereverberation and Recognition of Reverberant Speech.” <i> IEEE Workshop on Applications of Signal Processing to Audio and Acoustics </i>, 2013, pp. 22–23.","chicago":"Kinoshita, Keisuke, Marc Delcroix, Takuya Yoshioka, Tomohiro Nakatani, Emanuel Habets, Reinhold Haeb-Umbach, Volker Leutnant, et al. “The Reverb Challenge: A Common Evaluation Framework for Dereverberation and Recognition of Reverberant Speech.” In <i> IEEE Workshop on Applications of Signal Processing to Audio and Acoustics </i>, 22–23, 2013.","apa":"Kinoshita, K., Delcroix, M., Yoshioka, T., Nakatani, T., Habets, E., Haeb-Umbach, R., … Raj, B. (2013). The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech. In <i> IEEE Workshop on Applications of Signal Processing to Audio and Acoustics </i> (pp. 22–23).","ama":"Kinoshita K, Delcroix M, Yoshioka T, et al. The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech. In: <i> IEEE Workshop on Applications of Signal Processing to Audio and Acoustics </i>. ; 2013:22-23.","short":"K. Kinoshita, M. Delcroix, T. Yoshioka, T. Nakatani, E. Habets, R. Haeb-Umbach, V. Leutnant, A. Sehr, W. Kellermann, R. Maas, S. Gannot, B. Raj, in:  IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , 2013, pp. 22–23."},"year":"2013","language":[{"iso":"eng"}],"keyword":["Reverberant speech","dereverberation","ASR","evaluation","challenge"],"main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2013/Reverb2013.pdf","open_access":"1"}],"status":"public","_id":"11841","oa":"1","department":[{"_id":"54"}],"author":[{"full_name":"Kinoshita, Keisuke","last_name":"Kinoshita","first_name":"Keisuke"},{"full_name":"Delcroix, Marc","last_name":"Delcroix","first_name":"Marc"},{"last_name":"Yoshioka","full_name":"Yoshioka, Takuya","first_name":"Takuya"},{"last_name":"Nakatani","full_name":"Nakatani, Tomohiro","first_name":"Tomohiro"},{"full_name":"Habets, Emanuel","last_name":"Habets","first_name":"Emanuel"},{"full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","id":"242","first_name":"Reinhold"},{"first_name":"Volker","last_name":"Leutnant","full_name":"Leutnant, Volker"},{"first_name":"Armin","last_name":"Sehr","full_name":"Sehr, Armin"},{"full_name":"Kellermann, Walter","last_name":"Kellermann","first_name":"Walter"},{"last_name":"Maas","full_name":"Maas, Roland","first_name":"Roland"},{"last_name":"Gannot","full_name":"Gannot, Sharon","first_name":"Sharon"},{"first_name":"Bhiksha","full_name":"Raj, Bhiksha","last_name":"Raj"}],"title":"The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech","type":"conference","publication":" IEEE Workshop on Applications of Signal Processing to Audio and Acoustics ","date_created":"2019-07-12T05:29:17Z","abstract":[{"lang":"eng","text":"Recently, substantial progress has been made in the field of reverberant speech signal processing, including both single- and multichannel de-reverberation 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."}],"user_id":"44006"}