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Michael Howard
michaelhoward2051
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reacted to Parveshiiii's post with 🤗 about 1 month 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 updated a Space over 1 year ago
michaelhoward2051/test2 published a Space over 1 year ago
michaelhoward2051/test2Organizations
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Spaces almost 2 years ago