Papers
arxiv:1801.01944
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Published on Mar 30, 2018
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Abstract
White-box iterative optimization generates nearly identical audio that forces DeepSpeech to transcribe arbitrary text with 100% success rate.
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We construct targeted audio adversarial examples on automatic speech recognition. Given any audio waveform, we can produce another that is over 99.9% similar, but transcribes as any phrase we choose (recognizing up to 50 characters per second of audio). We apply our white-box iterative optimization-based attack to Mozilla's implementation DeepSpeech end-to-end, and show it has a 100% success rate. The feasibility of this attack introduce a new domain to study adversarial examples.
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