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Shirvanian et al., 2019 - Google Patents

Quantifying the breakability of voice assistants

Shirvanian et al., 2019

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Document ID
17745010493147839314
Author
Shirvanian M
Vo S
Saxena N
Publication year
Publication venue
2019 IEEE International Conference on Pervasive Computing and Communications (PerCom

External Links

Snippet

In this paper, we present a thorough study of voice impersonation attacks that can compromise the security of voice authentication technology deployed in several popular, state-of-the-art Android and iOS apps. Our study is based on our formulated Sneakers attack …
Continue reading at nsaxena.engr.tamu.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification
    • G10L17/04Training, enrolment or model building
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/003Changing voice quality, e.g. pitch or formants
    • G10L21/007Changing voice quality, e.g. pitch or formants characterised by the process used
    • G10L21/013Adapting to target pitch

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