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Learning auxiliary categorical information for speech synthesis based on deep and recurrent neural networks.

, , , , and . ISCSLP, page 1-5. IEEE, (2016)

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A Study on Music Genre Classification Based on Universal Acoustic Models., and . ISMIR, page 89-94. (2006)A kernelized maximal-figure-of-merit learning approach based on subspace distance minimization., and . ICASSP, page 2068-2071. IEEE, (2011)A Minimum Error Rate Pattern Recognition Approach to Speech Recognition., , , and . IJPRAI, 8 (1): 5-31 (1994)Unsupervised adaptation using structural Bayes approach., and . ICASSP, page 793-796. IEEE, (1998)Discriminative dynamic Gaussian mixture selection with enhanced robustness and performance for multi-accent speech recognition., , , and . ICASSP, page 4749-4752. IEEE, (2012)On stochastic feature and model compensation approaches to robust speech recognition.. Speech Commun., 25 (1-3): 29-47 (1998)TT+GT at TRECVID 2010 Workshop., , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2010)Iterative Training Techniques for Phonetic Template Based Speech Recognition with a Speaker-Independent Phonetic Recognizer., , and . Australian Conference on Artificial Intelligence, volume 3809 of Lecture Notes in Computer Science, page 577-584. Springer, (2005)Developments and directions in speech recognition and understanding, Part 1 DSP Education., , , , , , and . IEEE Signal Process. Mag., 26 (3): 75-80 (2009)Stochastic modeling in spoken dialogue system design.. Speech Communication, 15 (3-4): 311-322 (1994)