Speech-model backdoor fires on one speaker’s voice
In sandbox tests, a poisoned transcript asking for $5,000 led some GPT-4o and Claude agents to pay.
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In sandbox tests, a poisoned transcript asking for $5,000 led some GPT-4o and Claude agents to pay.
OpenPA uses Whisper cross-attention to score pronunciation at word and utterance level without forced alignment.
A 5.8M model timestamps 54 non-speech sounds and merges them into Whisper transcripts.
Six Whisper encoder layers are pruned and partly recovered with label-free distillation.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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