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arxiv:2506.01322

Zero-Shot Text-to-Speech for Vietnamese

Published on Jun 2
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Abstract

PhoAudiobook, a dataset of 941 hours of high-quality Vietnamese audio, enhances the performance of zero-shot TTS models VALL-E, VoiceCraft, and XTTS-V2, with particular improvements in synthesizing short sentences.

AI-generated summary

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.

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