构建941小时越南语语音数据集，提升零样本语音合成效果
Zero-Shot Text-to-Speech for Vietnamese
- 构建941小时高质量越南语语音数据集PhoAudiobook
- VALL-E和VoiceCraft在短句合成上表现更优
- 公开数据集推动越南语语音合成研究
本文提出PhoAudiobook，一个包含941小时高质量音频的越南语文本到语音数据集。基于该数据集，我们在三种主流零样本语音合成模型（VALL-E、VoiceCraft、XTTS-V2）上开展实验，结果表明PhoAudiobook能持续提升模型性能。此外，VALL-E与VoiceCraft在短句生成中表现更佳，展现出更强的跨语言适应能力。研究团队已公开发布PhoAudiobook，以促进越南语语音合成领域的进一步研究与发展。
原文摘要 · Abstract (English)
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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