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LM-SPT Uses Semantic Distillation to Improve Speech Tokenization for Language Models Technology
Artificial Intelligence #speech tokenization#semantic distillation

LM-SPT Uses Semantic Distillation to Improve Speech Tokenization for Language Models

A new speech tokenization method called LM-SPT uses semantic speech-resynthesis distillation to better align discrete speech tokens with language models. The approach outperforms previous semantic-enhanced tokenizers on automatic speech recognition and text-to-speech tasks without sacrificing reconstruction fidelity.

Jun 17, 2026 2 sources