A Unified Front-End Framework for English Text-to-Speech Synthesis
Zelin Ying, Chen Li, Yu Dong, Qiuqiang Kong, Qiao Tian, Yuanyuan Huo, Yuxuan Wang
Abstract
The front-end is a critical component of English text-to-speech (TTS) systems, responsible for extracting linguistic features that are essential for a text-to-speech model to synthesize speech, such as prosodies and phonemes. The English TTS front-end typically consists of a text normalization (TN) module, a prosody word prosody phrase (PWPP) module, and a grapheme-to-phoneme (G2P) module. However, current research on the English TTS front-end focuses solely on individual modules, neglecting the interdependence between them and resulting in sub-optimal performance for each module. Therefore, this paper proposes a unified frontend framework that captures the dependencies among the English TTS front-end modules. Extensive experiments have demonstrated that the proposed method achieves state-of-the-art (SOTA) performance in all modules.
BibTeX
@inproceedings{icassp2024_aunifiedfrontend,
title = {A Unified Front-End Framework for English Text-to-Speech Synthesis},
author = {Zelin Ying and Chen Li and Yu Dong and Qiuqiang Kong and Qiao Tian and Yuanyuan Huo and Yuxuan Wang},
booktitle = {ICASSP 2024},
year = {2024}
}