Prompttts: Controllable Text-To-Speech With Text Descriptions

Author:

Guo Zhifang1,Leng Yichong1,Wu Yihan1,Zhao Sheng1,Tan Xu1

Affiliation:

1. Univerisity of Science and Technology of China, Renmin University of China,Microsoft Azure Speech, Microsoft Research Asia

Publisher

IEEE

Reference21 articles.

1. Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis;wang;International Conference on Machine Learning (ICML),2018

2. Fastspeech 2: Fast and high-quality end-to-end text to speech;ren;International Conference on Learning Representations (ICLR),2021

3. Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion

4. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;Annual conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies (NAACL),2019

5. An objective measure for estimating mos of synthesized speech;min;Conference of the International Speech Communication Association (InterSpeech),2001

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