ICASSP 2026 Radar Acoustic Speech Enhancement (RASE) Challenge
Overview & Synopsis
This paper presents the ICASSP 2026 Radar Acoustic Speech Enhancement (RASE) Grand Challenge, the first community challenge dedicated to benchmarking speech enhancement from millimeter-wave (mmWave) radar vibrometry. The challenge targets realistic through-glass sensing scenarios where microphones are ineffective or impractical. We introduce a curated dataset of paired radar and clean speech recordings, standardized preprocessing, a baseline system, and a secure Codabench-based evaluation framework with unified objective metrics. The RASE Challenge establishes the first public benchmark for radar-based speech enhancement and aims to foster reproducible research in this emerging field.
Indexed from repository: arXiv
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arxiv.org)
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Document Information
| Document Title | ICASSP 2026 Radar Acoustic Speech Enhancement (RASE) Challenge |
|---|---|
| Author / Organization | Zhi-Wei Tan, V. G. Reju, Ritesh C. Tewari, Ruotong Ding, Patrick A. Naylor, Andy W. H. Khong |
| Subject & Discipline | eess.AS |
| Categories | Computer Science & Mathematics |
| Publication Year | 2026 |
| License / Rights | arXiv Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
arXiv
(arxiv.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-120449 |
| Original Source Link | Visit Source Page on arxiv.org » |