This paper introduces PhoAudiobook, a newly curated dataset comprising 941 hours of high-quality audio for Vietnamese text-to-speech. Using PhoAudiobook, we conduct experiments on three leading zero-shot TTS models: VALL-E, VoiceCraft, and XTTS-V2. Our findings demonstrate that PhoAudiobook consistently enhances model performance across various metrics. Moreover, VALL-E and VoiceCraft exhibit superior performance in synthesizing short sentences, highlighting their robustness in handling diverse linguistic contexts. We publicly release PhoAudiobook to facilitate further research and development in Vietnamese text-to-speech.
Cite
@article{arxiv.2506.01322,
title = {Zero-Shot Text-to-Speech for Vietnamese},
author = {Thi Vu and Linh The Nguyen and Dat Quoc Nguyen},
journal= {arXiv preprint arXiv:2506.01322},
year = {2025}
}
Comments
To appear in Proceedings of ACL 2025 (Main conference paper)