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Multi-Task Deep Learning for User Intention Understanding in Speech Interaction Systems.

, , , , , , and . AAAI, page 161-167. AAAI Press, (2017)

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Automatic Story Segmentation using a Bayesian Decision Framework for Statistical Models of Lexical Chain Features., , and . ACL/IJCNLP (2), page 265-268. The Association for Computer Linguistics, (2009)Modelling the Global acoustic Correlates of Expressivity for Chinese Text-to-speech Synthesis., , , and . SLT, page 138-141. IEEE, (2006)Understanding speaking styles of internet speech data with LSTM and low-resource training., , , , , and . ACII, page 815-820. IEEE Computer Society, (2015)Effects of Device Mismatch, Language Mismatch and Environmental Mismatch on Speaker Verification., , and . ICASSP (4), page 301-304. IEEE, (2007)Exploring articulatory characteristics of Cantonese dysarthric speech using distinctive features., , , and . ICASSP, page 6495-6499. IEEE, (2016)Learning cross-lingual knowledge with multilingual BLSTM for emphasis detection with limited training data., , , , , , and . ICASSP, page 5615-5619. IEEE, (2017)A dynamic semantic model for re-scoring recognition hypotheses., , and . ICASSP, page 589-592. IEEE, (2001)Learning Strategies In A Grammar Induction Framework., , and . NLPRS, page 153-157. (2001)Kronecker product approximation with multiple factor matrices via the tensor product algorithm., , , and . SMC, page 4277-4282. IEEE, (2016)A Two-Pass Framework of Mispronunciation Detection and Diagnosis for Computer-Aided Pronunciation Training., , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (6): 1020-1028 (2016)