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Speech in Noisy Environments: robust automatic segmentation, feature extraction, and hypothesis combination.

, , , and . ICASSP, page 273-276. IEEE, (2001)

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Missing Feature Speech Recognition using Dereverberation and Echo Suppression in Reverberant Environments., and . ICASSP (4), page 381-384. IEEE, (2007)Dynamic speaker adaptation for isolated letter recognition using MAP estimation., and . ICASSP, page 734-737. IEEE, (1983)Feature-based speaker-independent recognition of isolated english letters., , , , , and . ICASSP, page 731-733. IEEE, (1983)Parameter sharing in subband likelihood-maximizing beamforming for speech recognition using microphone arrays., and . ICASSP (1), page 881-884. IEEE, (2004)A Bayesian classifier for spectrographic mask estimation for missing feature speech recognition., , and . Speech Commun., 43 (4): 379-393 (2004)Robust Features in Deep-Learning-Based Speech Recognition., , , , , , , , , and . New Era for Robust Speech Recognition, Exploiting Deep Learning, Springer, (2017)Subband Likelihood-Maximizing Beamforming for Speech Recognition in Reverberant Environments., and . IEEE Trans. Speech Audio Process., 14 (6): 2109-2121 (2006)A hybrid physical and statistical dynamic articulatory framework incorporating analysis-by-synthesis for improved phone classification., , and . ICASSP, page 4194-4197. IEEE, (2010)Non causal deep learning based dereverberation., , and . CoRR, (2020)Informedia @TRECVID 2012., , , , , , , , , and 20 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2012)