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arXiv · 2501.17790

BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation -- Challenges and Insights

Chan-Jan Hsu·Yi-Cheng Lin·Chia-Chun Lin·Wei-Chih Chen·Ho Lam Chung·Chen-An Li·Yi-Chang Chen·Chien-Yu Yu·Ming-Ji Lee·Chien-Cheng Chen·Ru-Heng Huang·Hung-yi Lee·Da-Shan Shiu
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Abstract

We present BreezyVoice, a Text-to-Speech (TTS) system specifically adapted for Taiwanese Mandarin, highlighting phonetic control abilities to address the unique challenges of polyphone disambiguation in the language. Building upon CosyVoice, we incorporate a $S^{3}$ tokenizer, a large language model (LLM), an optimal-transport conditional flow matching model (OT-CFM), and a grapheme to phoneme prediction model, to generate realistic speech that closely mimics human utterances. Our evaluation demonstrates BreezyVoice's superior performance in both general and code-switching contexts, highlighting its robustness and effectiveness in generating high-fidelity speech. Additionally, we address the challenges of generalizability in modeling long-tail speakers and polyphone disambiguation. Our approach significantly enhances performance and offers valuable insights into the workings of neural codec TTS systems.

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Chan-Jan Hsu, Yi-Cheng Lin, Chia-Chun Lin, Wei-Chih Chen, Ho Lam Chung, Chen-An Li, Yi-Chang Chen, Chien-Yu Yu, Ming-Ji Lee, Chien-Cheng Chen, Ru-Heng Huang, Hung-yi Lee, Da-Shan Shiu. 2025-01-29. BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation -- Challenges and Insights. https://arxiv.org/abs/2501.17790

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