Mels-Tts : Multi-Emotion Multi-Lingual Multi-Speaker Text-To-Speech System Via Disentangled Style Tokens
Author:
Affiliation:
1. Samsung Research
2. University of Southern California
3. Korea University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446852.pdf?arnumber=10446852
Reference31 articles.
1. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
2. Fastspeech: Fast, robust and controllable text to speech;Ren
3. Fastspeech 2: Fast and high-quality end-to-end text to speech;Ren
4. Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech;Kim
5. Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision
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