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A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research.

, , , , , , , , , , , and . EURASIP J. Adv. Sig. Proc., (2016)

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A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech., , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 22 (1): 95-109 (2014)An analytic derivation of a phase-sensitive observation model for noise robust speech recognition., and . INTERSPEECH, page 2395-2398. ISCA, (2009)Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition., and . Robust Speech Recognition of Uncertain or Missing Data, Springer, (2011)On the exploitation of hidden Markov models and linear dynamic models in a hybrid decoder architecture for continuous speech recognition., and . INTERSPEECH, page 2946-2949. ISCA, (2010)Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data., , , and . INTERSPEECH, page 807-810. ISCA, (2012)A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research., , , , , , , , , and 2 other author(s). EURASIP J. Adv. Sig. Proc., (2016)Amigo Context Management Service with Applications in Ambient Communication Scenarios., , and . AmI Workshops, volume 11 of Communications in Computer and Information Science, page 397-402. Springer, (2007)Fusing audio and video information for online speaker diarization., , , and . INTERSPEECH, page 1163-1166. ISCA, (2009)Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition., , and . IEEE Trans. Audio, Speech & Language Processing, 21 (8): 1640-1652 (2013)GMM-based significance decoding., , , , and . ICASSP, page 6827-6831. IEEE, (2013)