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ADD 2022: the first Audio Deep Synthesis Detection Challenge.

, , , , , , , , , , , , , , , , и . ICASSP, стр. 9216-9220. IEEE, (2022)

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Naiyen Wen

Ming Wen

Wen Peng

Wen Wang

Wen Cao

 

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Singing-Tacotron: Global Duration Control Attention and Dynamic Filter for End-to-end Singing Voice Synthesis., , , , и . DDAM@MM, стр. 53-59. ACM, (2022)One In A Hundred: Selecting the Best Predicted Sequence from Numerous Candidates for Speech Recognition., , , , , и . APSIPA ASC, стр. 454-459. IEEE, (2021)Bi-Level Style and Prosody Decoupling Modeling for Personalized End-to-End Speech Synthesis., , , , , и . ICASSP, стр. 6568-6572. IEEE, (2021)Prosody and Voice Factorization for Few-Shot Speaker Adaptation in the Challenge M2voc 2021., , , , , , и . ICASSP, стр. 8603-8607. IEEE, (2021)Deep Attention Fusion Feature for Speech Separation with End-to-End Post-filter Method., , , , , и . CoRR, (2020)Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition., , , , , и . CoRR, (2020)Pitch-Scaled Spectrum Based Excitation Model for HMM-based Speech Synthesis., , , и . J. Signal Process. Syst., 74 (3): 423-435 (2014)Integrating Knowledge Into End-to-End Speech Recognition From External Text-Only Data., , , , , и . IEEE ACM Trans. Audio Speech Lang. Process., (2021)Improving BLSTM RNN based Mandarin speech recognition using accent dependent bottleneck features., , , и . APSIPA, стр. 1-5. IEEE, (2016)Synchronous Transformers for end-to-end Speech Recognition., , , , , и . ICASSP, стр. 7884-7888. IEEE, (2020)