TY - GEN
T1 - The REVERB challenge: A common evaluation framework for dereverberation and recognition of reverberant speech
AU - Kinoshita, K.
AU - Delcroix, M.
AU - Yoshioka, T.
AU - Nakatani, T.
AU - Habets, E.
AU - Haeb-Umbach, R.
AU - Leutnant, V.
AU - Sehr, A.
AU - Kellermann, W.
AU - Maas, R.
AU - Gannot, S.
AU - Raj, B.
N1 - Place of conference:New Paltz, USA
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - https://scholar.google.co.il/scholar?q=The+REVERB+challenge%3A+A+common+evaluation+framework+for+dereverberation+and+recognition+of+reverberant+speech&btnG=&hl=en&as_sdt=0%2C5
M3 - Conference contribution
BT - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
ER -