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Distant-talking continuous speech recognition based on a novel reverberation model in the feature domain.

, , and . INTERSPEECH, ISCA, (2006)

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Adapting HMMs of distant-talking ASR systems using feature-domain reverberation models., , and . EUSIPCO, page 540-543. IEEE, (2009)Maximum likelihood estimation of a reverberation model for robust distant-talking speech recognition., , , and . EUSIPCO, page 1299-1303. IEEE, (2007)A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition., , , and . CoRR, (2013)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)Blind estimation of a feature-domain reverberation model in non-diffuse environments with variance adjustment., , , and . EUSIPCO, page 175-179. IEEE, (2009)A New Concept for Feature-Domain Dereverberation for Robust Distant-Talking ASR., and . ICASSP (4), page 369-372. IEEE, (2007)Efficient training of acoustic models for reverberation-robust medium-vocabulary automatic speech recognition., , , , and . HSCMA, page 177-181. IEEE, (2014)Formulation of the REMOS concept from an uncertainty decoding perspective., , , , , , and . DSP, page 1-6. IEEE, (2013)Frame-wise HMM adaptation using state-dependent reverberation estimates., , and . ICASSP, page 5484-5487. IEEE, (2011)Making Machines Understand Us in Reverberant Rooms: Robustness Against Reverberation for Automatic Speech Recognition., , , , , , and . IEEE Signal Process. Mag., 29 (6): 114-126 (2012)