MPO improves TTS alignment by constructing multi-dimensional preference pairs and adding cross-entropy regularization to DPO, yielding better intelligibility, speaker similarity, and prosody.
Wenetspeech4tts: A 12,800-hour mandarin tts corpus for large speech generation model bench- mark,
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MPO: Multidimensional Preference Optimization for Language Model-based Text-to-Speech
MPO improves TTS alignment by constructing multi-dimensional preference pairs and adding cross-entropy regularization to DPO, yielding better intelligibility, speaker similarity, and prosody.