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HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations.

, , , , , , and . ACL (1), page 5086-5097. Association for Computational Linguistics, (2022)

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Minimum generation error training for HMM-based prediction of articulatory movements., , , , and . ISCSLP, page 99-102. IEEE, (2010)Dnn-based Spectral Enhancement for Neural Waveform Generators with Low-bit Quantization., , , and . ICASSP, page 7025-7029. IEEE, (2019)DBN-based Spectral Feature Representation for Statistical Parametric Speech Synthesis., and . IEEE Signal Process. Lett., 23 (3): 321-325 (2016)Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion., , , , , , , and . CoRR, (2020)Knowledge Base Question Answering With Attentive Pooling for Question Representation., , and . IEEE Access, (2019)Modeling glottal effect on the spectral envelop of STRAIGHT using mixture of Gaussians., , , and . ISCSLP, page 73-76. IEEE, (2004)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)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)