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Voice Privacy in Biometrics

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Biomedical Signal and Image Processing with Artificial Intelligence

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

Attempts to spoof an ASV (voice biometric system) have been successful in the past due to the advent of technologies. However, despite the development of various countermeasures for each spoofing attack, there is an urgent need for a versatile countermeasure. Hence, designing a voice privacy system has become crucial. Moreover, the energy losses in a speech production model contain speaker-specific information and thus provide acoustic cues for voice privacy. In this chapter, the design of 2nd-order resonator and the linear prediction modeling of speech production are exploited to design voice privacy system. The performance of the proposed system is compared with the secondary baseline system of the INTERSPEECH 2020 voice privacy challenge. Improved performance-wise EER and WER are achieved for various subsets of the corpora, furthermore, while we may achieve anonymization by cryptography, which have limitations in complexity and implementation costs, discussed in detail for privacy preservation.

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Authors and Affiliations

  1. Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India

    Priyanka Gupta, Shrishti Singh, Gauri P. Prajapati & Hemant A. Patil

Authors
  1. Priyanka Gupta
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  2. Shrishti Singh
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  3. Gauri P. Prajapati
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  4. Hemant A. Patil
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Corresponding author

Correspondence to Gauri P. Prajapati .

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Editors and Affiliations

  1. Electronics & Communication Engineering, Sarvajanik College of Engineering and Technology, Surat, India

    Chirag Paunwala

  2. Electronics & Communication Engineering, C. K. Pithawala College of Engineering and Technology, Surat, India

    Mita Paunwala

  3. Electronics & Communication Engineering, G. H. Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India

    Rahul Kher

  4. Electronics & Communication Engineering, G. H. Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India

    Falgun Thakkar

  5. A. D. Patel Institute of Technology, New Vallabh Vidyanagar, India

    Heena Kher

  6. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  7. UTM Razak School, Menara Razak, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Norliza Mohd. Noor

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Gupta, P., Singh, S., Prajapati, G.P., Patil, H.A. (2023). Voice Privacy in Biometrics. In: Paunwala, C., et al. Biomedical Signal and Image Processing with Artificial Intelligence. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-15816-2_1

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  • DOI: https://doi.org/10.1007/978-3-031-15816-2_1

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