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Improving the performance of HMM-based voice conversion using context clustering decision tree and appropriate regression matrix format.

, , , и . INTERSPEECH, ISCA, (2006)

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Dchi-ling Ling

Zhen Cao

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Zhen Tian

 

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Non-parallel training for voice conversion based on FT-GMM., , и . ICASSP, стр. 5116-5119. IEEE, (2011)Modeling spectral envelopes using deep conditional restricted Boltzmann machines for statistical parametric speech synthesis., , , и . ICASSP, стр. 5125-5129. IEEE, (2016)Deep belief network-based post-filtering for statistical parametric speech synthesis., , и . ICASSP, стр. 5510-5514. IEEE, (2016)Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision., , , , , и . CoRR, (2018)Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models., , , , и . IEEE Access, (2020)Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems., , , , , и . CoRR, (2020)Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems., , , , , , , , , и . CoRR, (2020)Neural Speech Phase Prediction Based on Parallel Estimation Architecture and Anti-Wrapping Losses., и . ICASSP, стр. 1-5. IEEE, (2023)Zero-Shot Personalized Lip-To-Speech Synthesis with Face Image Based Voice Control., , и . ICASSP, стр. 1-5. IEEE, (2023)Improving Recognition-Synthesis Based any-to-one Voice Conversion with Cyclic Training., , , , и . ICASSP, стр. 7007-7011. IEEE, (2022)