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Parkinson's condition estimation using speech acoustic and inversely mapped articulatory data.

, and . INTERSPEECH, page 513-517. ISCA, (2015)

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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)The Marchex 2018 English Conversational Telephone Speech Recognition System., , , and . CoRR, (2018)Silent speech recognition from articulatory movements using deep neural network., and . ICPhS, University of Glasgow, (2015)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)Recognizing Dysarthric Speech due to Amyotrophic Lateral Sclerosis with Across-Speaker Articulatory Normalization., , and . SLPAT@Interspeech, page 47-54. Association for Computational Linguistics, (2015)Deep Learning-Based Telephony Speech Recognition in the Wild., , , , and . INTERSPEECH, page 1323-1327. ISCA, (2017)Speaker-independent silent speech recognition with across-speaker articulatory normalization and speaker adaptive training., and . INTERSPEECH, page 2415-2419. ISCA, (2015)