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Deep Learning-Based Telephony Speech Recognition in the Wild.

, , , , and . INTERSPEECH, page 1323-1327. ISCA, (2017)

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Parkinson's condition estimation using speech acoustic and inversely mapped articulatory data., and . INTERSPEECH, page 513-517. ISCA, (2015)Uncertainty propagation in front end factor analysis for noise robust speaker recognition., , , and . ICASSP, page 4017-4021. IEEE, (2014)Silent speech recognition from articulatory movements using deep neural network., and . ICPhS, University of Glasgow, (2015)The Marchex 2018 English Conversational Telephone Speech Recognition System., , , and . CoRR, (2018)A System for Evaluating Singing Enthusiasm for Karaoke., , , , and . ISMIR, page 31-36. University of Miami, (2011)Language Model Expansion Using Webdata for Spoken Document Retrieval., , and . INTERSPEECH, page 2133-2136. ISCA, (2011)A fast speaker adaptation method using aspect model., , , and . INTERSPEECH, page 1221-1224. ISCA, (2008)Aspect-model-based reference speaker weighting., , , , , and . ICASSP, page 4302-4305. IEEE, (2010)Speech Recognition under Multiple Noise Environment Based on Multi-Mixture HMM and Weight Optimization by the Aspect Model., , , , , and . IEICE Trans. Inf. Syst., 93-D (9): 2407-2416 (2010)Determining an Optimal Set of Flesh Points on Tongue, Lips, and Jaw for Continuous Silent Speech Recognition., , and . SLPAT@Interspeech, page 79-85. Association for Computational Linguistics, (2015)