Maximizing Data Efficiency for Cross-Lingual TTS Adaptation by Self-Supervised Representation Mixing and Embedding Initialization
Author:
Affiliation:
1. National Taiwan University Graduate Institute of Communication Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10388490/10389614/10389665.pdf?arnumber=10389665
Reference39 articles.
1. Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech;Kim,2021
2. Portaspeech: Portable and high-quality generative text-to-speech;Ren,2022
3. Tacotron: Towards End-to-End Speech Synthesis
4. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
5. Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning;Ping
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