Period VITS: Variational Inference with Explicit Pitch Modeling for End-To-End Emotional Speech Synthesis
Author:
Affiliation:
1. LINE Corp.,Tokyo,Japan
2. NAVER Corp.,Seongnam,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096480.pdf?arnumber=10096480
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3. Chunked autoregressive GAN for conditional waveform synthesis;morrison;Proc ICLR,2022
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1. BERTIVITS: The Posterior Encoder Fusion of Pre-Trained Models and Residual Skip Connections for End-to-End Speech Synthesis;Applied Sciences;2024-06-10
2. Low-Resource Cross-Domain Singing Voice Synthesis via Reduced Self-Supervised Speech Representations;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14
3. PAVITS: Exploring Prosody-Aware VITS for End-to-End Emotional Voice Conversion;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
4. Fast Neural Speech Waveform Generative Models With Fully-Connected Layer-Based Upsampling;IEEE Access;2024
5. VITS: Quality Vs. Speed Analysis;Text, Speech, and Dialogue;2023
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