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Rethinking Training Targets, Architectures and Data Quality for Universal Speech Enhancement

Time-shifted anechoic targets, a two-stage distortion-perception framework, and curated data improve universal speech enhancement and achieve state-of-the-art results.

Szu-Wei Fu, Rong Chao, Xuesong Yang, Sung-Feng Huang and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5