TY - CHAP A1 - Kinoshita, Keisuke A1 - Delcroix, Marc A1 - Gannot, Sharon A1 - Habets, Emanuël A. P. A1 - Haeb-Umbach, Reinhold A1 - Kellermann, Walter A1 - Leutnant, Volker A1 - Maas, Roland A1 - Nakatani, Tomohiro A1 - Raj, Bhiksha A1 - Sehr, Armin A1 - Yoshioka, Takuya ED - Watanabe, Shinji ED - Delcroix, Marc ED - Metze, Florian ED - Hershey, John R. T1 - The REVERB Challenge: A Benchmark Task for Reverberation-Robust ASR Techniques T2 - New Era for Robust Speech Recognition N2 - The REVERB challenge is a benchmark task designed to evaluate reverberation-robust automatic speech recognition techniques under various conditions. A particular novelty of the REVERB challenge database is that it comprises both real reverberant speech recordings and simulated reverberant speech, both of which include tasks to evaluate techniques for 1-, 2-, and 8-microphone situations. In this chapter, we describe the problem of reverberation and characteristics of the REVERB challenge data, and finally briefly introduce some results and findings useful for reverberant speech processing in the current deep-neural-network era. Y1 - 2017 SN - 978-3-319-64679-4 U6 - https://doi.org/10.1007/978-3-319-64680-0_15 VL - 27 SP - 345 EP - 354 PB - Springer CY - Cham ER -