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Computer Science > Sound

arXiv:2309.02404 (cs)
[Submitted on 5 Sep 2023]

Title:Voice Morphing: Two Identities in One Voice

Authors:Sushanta K. Pani, Anurag Chowdhury, Morgan Sandler, Arun Ross
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Abstract:In a biometric system, each biometric sample or template is typically associated with a single identity. However, recent research has demonstrated the possibility of generating "morph" biometric samples that can successfully match more than a single identity. Morph attacks are now recognized as a potential security threat to biometric systems. However, most morph attacks have been studied on biometric modalities operating in the image domain, such as face, fingerprint, and iris. In this preliminary work, we introduce Voice Identity Morphing (VIM) - a voice-based morph attack that can synthesize speech samples that impersonate the voice characteristics of a pair of individuals. Our experiments evaluate the vulnerabilities of two popular speaker recognition systems, ECAPA-TDNN and x-vector, to VIM, with a success rate (MMPMR) of over 80% at a false match rate of 1% on the Librispeech dataset.
Comments: Accepted oral paper at BIOSIG 2023
Subjects: Sound (cs.SD); Computer Vision and Pattern Recognition (cs.CV); Audio and Speech Processing (eess.AS)
Cite as: arXiv:2309.02404 [cs.SD]
  (or arXiv:2309.02404v1 [cs.SD] for this version)
  https://doi.org/10.48550/arXiv.2309.02404

Submission history

From: Morgan Sandler [view email]
[v1] Tue, 5 Sep 2023 17:36:34 UTC (385 KB)
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