Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech
Author:
Affiliation:
1. Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan
2. Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
Funder
Ministry of Science and Technology, Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9657755/09756900.pdf?arnumber=9756900
Reference36 articles.
1. LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech
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3. TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
4. Wav2Vec 2.0: A framework for self-supervised learning of speech representations;baevski;Adv Neural Inf Process Syst,2020
5. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
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