mlsanityData to 14 Oct 2026

Voice Morphing: Two Identities in One Voice

arXiv 2309.02404 ↗First posted 5 Sep 2023cs.SD cs.CV eess.AScited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 14 of its 32 references that are in the map. First posted on arXiv 5 Sep 2023.

Builds on

14 of 32 references.

References · 14

  1. 2018VoxCeleb2: Deep Speaker Recognitioncited by 875
  2. 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 804
  3. 2017VoxCeleb: a large-scale speaker identification datasetcited by 732
  4. 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 628
  5. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 406
  6. 2018Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesiscited by 259
  7. 2018Efficient Neural Audio Synthesiscited by 219
  8. 2020Face Morphing Attack Generation & Detection: A Comprehensive Surveycited by 64
  9. 2021TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global contextcited by 62
  10. 2022MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verificationcited by 47
  11. 2022Morphing Attack Potentialcited by 15
  12. 2021Master Face Attacks on Face Recognition Systemscited by 7
2 more
  1. 2020DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in Non-ideal Audio Signalscited by 2
  2. 2020DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech Synthesiscited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Scores Know Bobs Voice: Speaker Impersonation Attackcited by 2
  2. 2026VoxMorph: Scalable Zero-shot Voice Identity Morphing via Disentangled Embeddingscited by 0