ICASSP 2026 URGENT Speech Enhancement Challenge
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Abstract (arXiv)
The ICASSP 2026 URGENT Challenge advances the series by focusing on universal speech enhancement (SE) systems that handle diverse distortions, domains, and input conditions. This overview paper details the challenge's motivation, task definitions, datasets, baseline systems, evaluation protocols, and results. The challenge is divided into two complementary tracks. Track 1 focuses on universal speech enhancement, while Track 2 introduces speech quality assessment for enhanced speech. The challenge attracted over 80 team registrations, with 29 submitting valid entries, demonstrating significant community interest in robust SE technologies.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Jan 2026.
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Citing papers per year: 2026: 4.
4 papers.
- 2026GAP-URGENet: A Generative-Predictive Fusion Framework for Universal Speech Enhancementcited by 1
- 2026DiT-Flow: Speech Enhancement Robust to Multiple Distortions based on Flow Matching in Latent Space and Diffusion Transformerscited by 0
- 2026StrixAE: An Intelligent Agent for Audio Enhancement under Complex Distortion Coupling in Real-World Scenarioscited by 0
- 2026Livin' on a Prior: Likelihood Score Approximation for Inverse Problemscited by 0
- 2026Livin' on a Prior: Likelihood Score Approximation for Inverse Problems28 Sep 2026
- 2026StrixAE: An Intelligent Agent for Audio Enhancement under Complex Distortion Coupling in Real-World Scenarios3 Sep 2026
- 2026GAP-URGENet: A Generative-Predictive Fusion Framework for Universal Speech Enhancement2 Apr 2026
- 2026DiT-Flow: Speech Enhancement Robust to Multiple Distortions based on Flow Matching in Latent Space and Diffusion Transformers23 Mar 2026