A unified front-end framework for English text-to-speech synthesis
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 front-end 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.
Cite
@article{arxiv.2305.10666,
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},
journal= {arXiv preprint arXiv:2305.10666},
year = {2024}
}
Comments
Accepted in ICASSP 2024