Author

Ho-Lam Chung

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Preprint Sep 2026

Listen, Critique, and Refine: RL-Based Self-Refinement for Instruction-Following Speech Synthesis

This work training a LALM with reinforcement learning to reason over its own speech output generates a draft speech as a form of audio-token reasoning, critiques its own generation by reflecting on the acoustic realization in text, and produces a refined version conditioned on both the first-pass speech and the critiqu...

Chee-En Yu, Yi-Cheng Lin, Sung-Feng Huang et al. · 1 citation

Preprint Jul 2026

Fr\'echet Distance Loss on Speech Representations for Text-to-Speech Synthesis

Speech Representation Fr'echet Distance loss (SR-FD), a training-time distributional regularizer for tokenizer-free flow-matching autoregressive TTS, is proposed, an intelligibility-improving distributional regularizer for few-step TTS.

Ho-Lam Chung, Kuan-Po Huang, Bo-Ru Lu et al. · 0 citations

Preprint Jul 2026

Listen, Think, Transcribe: Continuous Latent Test-Time Scaling for ASR

The results show that a small, carefully chosen activation set can switch on test-time scaling inside a frozen ASR model without corrupting the model itself, converting fixed per-utterance compute into input-dependent compute where it is most needed.

Ho-Lam Chung, Yiming Chen, Dau-Cheng Lyu et al. · 0 citations