Papers with accurate pronunciation alignment

1 papers
Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech (2026.acl-short)

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Challenge: Recent work has shown that text-to-speech (TTS) models generate contextaware pronunciations from raw text without morphological analysis.
Approach: They propose a preference optimization algorithm that aligns text-to-speech (TTS) outputs with human feedback.
Outcome: The proposed method improves the challenging Japanese pronunciation accuracy by 39% and reduces CER by 54%.

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