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arXiv · 2312.16850

Accent-VITS:accent transfer for end-to-end TTS

Linhan Ma·Yongmao Zhang·Xinfa Zhu·Yi Lei·Ziqian Ning·Pengcheng Zhu·Lei Xie
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Abstract

Accent transfer aims to transfer an accent from a source speaker to synthetic speech in the target speaker's voice. The main challenge is how to effectively disentangle speaker timbre and accent which are entangled in speech. This paper presents a VITS-based end-to-end accent transfer model named Accent-VITS.Based on the main structure of VITS, Accent-VITS makes substantial improvements to enable effective and stable accent transfer.We leverage a hierarchical CVAE structure to model accent pronunciation information and acoustic features, respectively, using bottleneck features and mel spectrums as constraints.Moreover, the text-to-wave mapping in VITS is decomposed into text-to-accent and accent-to-wave mappings in Accent-VITS. In this way, the disentanglement of accent and speaker timbre becomes be more stable and effective.Experiments on multi-accent and Mandarin datasets show that Accent-VITS achieves higher speaker similarity, accent similarity and speech naturalness as compared with a strong baseline.

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Linhan Ma, Yongmao Zhang, Xinfa Zhu, Yi Lei, Ziqian Ning, Pengcheng Zhu, Lei Xie. 2023-12-28. Accent-VITS:accent transfer for end-to-end TTS. https://arxiv.org/abs/2312.16850

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