Author

De-Hua Tao

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Preprint Aug 2026

NormToken: Speaker- and Duration-Normalized Semantic Speech Tokens via Iterative S2U-T2U Refinement

NormToken is an iterative semantic token purification framework that alternates S2U and text-to-unit (T2U) training that demonstrates improved S2U--T2U agreement and parallel-utterance token consistency and reduced dependence on source duration information.

Han-Lin Zhang, Da-Xin Tan, De-Hua Tao et al. · 0 citations

#natural language process... Preprint Sep 2026

Reducing the Output-Mode Gap in Speech Language Models via Joint-Output On-Policy Distillation

Joint-Output On-Policy Distillation (JO-OPD) is proposed, which distills the model's stronger S2T policy into joint generation using student-generated S2TS trajectories, which reduces OMG across two interleaved generation architectures.

Da-Xin Tan, De-Hua Tao, Chen-Xi Deng et al. · 0 citations

Preprint Aug 2026

Speaker-Normalized Semantic Speech Tokens via Iterative S2U-T2U Refinement

Independently trained de-tokenizers show that the refined S2U and T2U tokens retain sufficient content for high-intelligibility voice conversion and text-to-speech synthesis and exhibit substantially improved cross-speaker consistency and reduced probe-recoverable speaker information.

Hanlin Zhang, Da-Xin Tan, De-Hua Tao et al. · 0 citations