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Johns Hopkins University
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Adversarial attacks on speech models leave tell-tale geometric fingerprints in early representation layers that can be detected without transcripts.
Achieve single-pass alignment of multi-talker speech – a feat previously impossible – by modeling overlaps as shuffles.
