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Investigating Content-Aware Neural Text-to-Speech MOS Prediction Using Prosodic and Linguistic Features.

, , , , , , и . ICASSP, стр. 1-5. IEEE, (2023)

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Vibrato Learning in Multi-Singer Singing Voice Synthesis., , , , и . ASRU, стр. 773-779. IEEE, (2021)Cross-Lingual Low Resource Speaker Adaptation Using Phonological Features., , , , , , , и . Interspeech, стр. 1594-1598. ISCA, (2021)Controllable speech synthesis by learning discrete phoneme-level prosodic representations., , , , , , и . Speech Commun., (2023)Investigating Content-Aware Neural Text-to-Speech MOS Prediction Using Prosodic and Linguistic Features., , , , , , и . ICASSP, стр. 1-5. IEEE, (2023)Factored Maximum Penalized Likelihood Kernel Regression for HMM-Based Style-Adaptive Speech Synthesis., , и . J. Sel. Topics Signal Processing, 8 (2): 251-261 (2014)Word-Level Style Control for Expressive, Non-attentive Speech Synthesis., , , , и . SPECOM, том 12997 из Lecture Notes in Computer Science, стр. 336-347. Springer, (2021)SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis., , , , , , , , и . INTERSPEECH, стр. 2388-2392. ISCA, (2022)Factored MLLR Adaptation Algorithm for HMM-based Expressive TTS., , , и . INTERSPEECH, стр. 975-978. ISCA, (2012)Fine-grained Noise Control for Multispeaker Speech Synthesis., , , , , , , , , и . INTERSPEECH, стр. 828-832. ISCA, (2022)Factored MLLR Adaptation., , и . IEEE Signal Process. Lett., 18 (2): 99-102 (2011)