ICASSP 2026 URGENT Speech Enhancement Challenge
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arXiv
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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866914265589350400 |
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| author | Li, Chenda Wang, Wei Sach, Marvin Zhang, Wangyou Saijo, Kohei Cornell, Samuele Fu, Yihui Ni, Zhaoheng Fingscheidt, Tim Watanabe, Shinji Qian, Yanmin |
| author_facet | Li, Chenda Wang, Wei Sach, Marvin Zhang, Wangyou Saijo, Kohei Cornell, Samuele Fu, Yihui Ni, Zhaoheng Fingscheidt, Tim Watanabe, Shinji Qian, Yanmin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_13531 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | ICASSP 2026 URGENT Speech Enhancement Challenge Li, Chenda Wang, Wei Sach, Marvin Zhang, Wangyou Saijo, Kohei Cornell, Samuele Fu, Yihui Ni, Zhaoheng Fingscheidt, Tim Watanabe, Shinji Qian, Yanmin Audio and Speech Processing Sound 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. |
| title | ICASSP 2026 URGENT Speech Enhancement Challenge |
| topic | Audio and Speech Processing Sound |
| url | https://arxiv.org/abs/2601.13531 |