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Enhanced LSTM for Natural Language Inference.

, , , , , and . ACL (1), page 1657-1668. Association for Computational Linguistics, (2017)

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DBN-based Spectral Feature Representation for Statistical Parametric Speech Synthesis., and . IEEE Signal Process. Lett., 23 (3): 321-325 (2016)Integrate Document Ranking Information into Confidence Measure Calculation for Spoken Term Detection., , and . CoRR, (2015)Minimum generation error training for HMM-based prediction of articulatory movements., , , , and . ISCSLP, page 99-102. IEEE, (2010)Non-parallel training for voice conversion based on FT-GMM., , and . ICASSP, page 5116-5119. IEEE, (2011)Modeling spectral envelopes using deep conditional restricted Boltzmann machines for statistical parametric speech synthesis., , , and . ICASSP, page 5125-5129. IEEE, (2016)Deep belief network-based post-filtering for statistical parametric speech synthesis., , and . ICASSP, page 5510-5514. IEEE, (2016)Statistical Parametric Speech Synthesis Using Generalized Distillation Framework., , and . IEEE Signal Process. Lett., 25 (5): 695-699 (2018)Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision., , , , , and . CoRR, (2018)The USTC and iFlytek Speech Synthesis Systems for Blizzard Challenge 2007, , , , , , , , , and 1 other author(s). Proceedings of the Blizzard Challenge Workshop, page 1-6. Bonn, Germany, (August 2007)Dnn-based Spectral Enhancement for Neural Waveform Generators with Low-bit Quantization., , , and . ICASSP, page 7025-7029. IEEE, (2019)