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reacted to Parveshiiii's post with 😔 about 4 hours ago
Most deepfake audio detectors are quietly cheating.
They don’t really listen to the speech — they just look at how long the embedding vector is. Once they figure that out, accuracy looks great on paper and falls apart in the wild.
AIRealNet-Audio was built to stop that shortcut.
It forces every feature onto the unit hypersphere (twice) so the model can only use direction, not magnitude. Trained on speech from 100+ different TTS and voice-cloning systems, plus real human recordings under heavy compression and noise.
The result is a detector that actually has to learn the artifacts instead of gaming the feature space.
Model: https://huggingface.co/Modotte/AIRealNet-Audio reacted to DedeProGames's post with 👍 2 days ago
Im working on a 23M ASR model, trained on 100k hours of audio reacted to DedeProGames's post with 🔥 2 days ago
Im working on a 23M ASR model, trained on 100k hours of audioOrganizations
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upvoted a changelog 3 months ago