UniPASE: A Generative Model for Universal Speech Enhancement with High Fidelity and Low Hallucinations
UniPASE is an extension of the PASE framework designed for universal speech enhancement across multiple sampling rates. It introduces the DeWavLM-Omni module, fine-tuned from WavLM via knowledge distillation, to convert degraded waveforms into clean, linguistically faithful phonetic representations. The system reconstructs high-fidelity 16 kHz waveforms and upscales them to 48 kHz, achieving robust enhancement with minimal linguistic hallucination. UniPASE demonstrated superior or competitive performance compared to state-of-the-art models and won first place in the objective evaluation of the URGENT 2026 Challenge.
Why it matters: UniPASE advances the field of speech enhancement by addressing both fidelity and hallucination issues across diverse sampling rates, setting a new benchmark in universal speech enhancement.
Full story at: arXiv Audio and Speech Processing ↗