ACL 2025short0 citations
Zero-Shot Text-to-Speech for Vietnamese
Thi Vu, Linh The Nguyen, Dat Quoc Nguyen
Abstract
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.
BibTeX
@inproceedings{vu-etal-2025-zero,
title = "Zero-Shot Text-to-Speech for {V}ietnamese",
author = "Vu, Thi and
Nguyen, Linh The and
Nguyen, Dat Quoc",
editor = "Che, Wanxiang and
Nabende, Joyce and
Shutova, Ekaterina and
Pilehvar, Mohammad Taher",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-short.81/",
doi = "10.18653/v1/2025.acl-short.81",
pages = "1042--1049",
ISBN = "979-8-89176-252-7"
}