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🔄 In a Training Loop

Parvesh Rawal

Parveshiiii
hugging-science
25 10 31
P(doom) 10%
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AI & ML interests

I love deep neural nets.

Recent Activity

reacted to theirpost with 🤗 about 11 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
posted an update about 11 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
liked a Space 2 days ago
sujalrajpoot/AIRealNet
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