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- W4287332144 abstract "We construct audio adversarial examples on automatic Speech-To-Text systems . Given any audio waveform, we produce an another by overlaying an audio vocal mask generated from the original audio. We apply our audio adversarial attack to five SOTA STT systems: DeepSpeech, Julius, Kaldi, wav2letter@anywhere and CMUSphinx. In addition, we engaged human annotators to transcribe the adversarial audio. Our experiments show that these adversarial examples fool State-Of-The-Art Speech-To-Text systems, yet humans are able to consistently pick out the speech. The feasibility of this attack introduces a new domain to study machine and human perception of speech." @default.
- W4287332144 created "2022-07-25" @default.
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- W4287332144 date "2021-02-04" @default.
- W4287332144 modified "2023-09-29" @default.
- W4287332144 title "Audio Adversarial Examples: Attacks Using Vocal Masks" @default.
- W4287332144 doi "https://doi.org/10.48550/arxiv.2102.02417" @default.
- W4287332144 hasPublicationYear "2021" @default.
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