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Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion.

, , and . IEEE Trans. Speech Audio Process., 13 (3): 412-421 (2005)

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Why word error rate is not a good metric for speech recognizer training for the speech translation task?, , and . ICASSP, page 5632-5635. IEEE, (2011)A Bayesian approach to speech feature enhancement using the dynamic cepstral prior., , and . ICASSP, page 829-832. IEEE, (2002)Speech utterance classification., , and . ICASSP (1), page 280-283. IEEE, (2003)Concept acquisition in example-based grammar authoring., and . ICASSP (1), page 284-287. IEEE, (2003)Efficient and Robust Language Modeling in an Automatic Children's Reading Tutor System., , , and . ICASSP (4), page 193-196. IEEE, (2007)Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition., , , and . IEEE Trans. Speech Audio Process., 20 (1): 30-42 (2012)A bidirectional target-filtering model of speech coarticulation and reduction: two-stage implementation for phonetic recognition., , and . IEEE Trans. Speech Audio Process., 14 (1): 256-265 (2006)Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition., , and . ICASSP, page 4550-4553. IEEE, (2010)Robust Multichannel Linear Prediction for Online Speech Dereverberation Using Weighted Householder Least Squares Lattice Adaptive Filter., , , , , , , and . IEEE Trans. Signal Process., (2020)Extracting structured information from user queries with semi-supervised conditional random fields., , and . SIGIR, page 572-579. ACM, (2009)