Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts
Author:
Affiliation:
1. Tsinghua University,Shenzhen International Graduate School,Shenzhen
2. The Chinese University of Hong Kong
3. Skywork AI PTE. LTD.,Beijing
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447815.pdf?arnumber=10447815
Reference25 articles.
1. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
2. Fastspeech 2: Fast and high-quality end-to-end text to speech;Ren
3. MultiSpeech: Multi-Speaker Text to Speech with Transformer
4. Conditional variational autoencoder with adversarial learning for end-toend text-to-speech;Kim
5. A survey on neural speech synthesis;Tan,2021
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