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New TTS framework enhances Japanese pronunciation accuracy and control

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Ruby-OPD, a novel two-stage framework designed to improve pronunciation accuracy and controllability in Japanese text-to-speech (TTS) systems. This framework addresses the challenges posed by Japanese's unsegmented nature, which mixes Kanji and Kana and features extensive polyphony. The system utilizes Ruby text representations with orthography perturbation to maintain surface forms and target pronunciations, and employs On-Policy Distillation (OPD) on text-only corpora to enhance pronunciation accuracy without requiring paired speech data. On the Joyo-Kanji-Yomi benchmark, Ruby-OPD achieved a 97.13% accuracy rate, demonstrating strong controllability and improved pronunciation. AI

IMPACT Improves TTS capabilities for languages with complex orthography and pronunciation.

RANK_REASON Academic paper detailing a new method for text-to-speech. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New TTS framework enhances Japanese pronunciation accuracy and control

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Academic paper detailing a new method for text-to-speech. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Rui Hu, Xiaolong Lin, Zhenpeng Zhan ·

    Ruby-OPD: Enhancing Pronunciation Controllability and Accuracy for Flow-Matching Text-to-Speech via On-Policy Distillation

    arXiv:2611.06403v1 Announce Type: new Abstract: Achieving both high pronunciation accuracy and fine-grained controllability remains a central challenge in Japanese text-to-speech (TTS), as Japanese is an unsegmented language mixing logographic Kanji and phonographic Kana with ext…

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