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A Lightweight Approach Towards Speaker Authentication Systems
  • +2
  • Rishi More,
  • Abhijit Patil,
  • Sahil Deshmukh,
  • Krishi Chawda,
  • Dhruv Mistry
Rishi More
Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology

Corresponding Author:[email protected]

Author Profile
Abhijit Patil
Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology
Sahil Deshmukh
Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology
Krishi Chawda
Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology
Dhruv Mistry
Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology, Computer Engineering K.J. Somaiya Institute of Technology

Abstract

In a world where traditional authentication systems are constrained, the introduction of voice-based authentication provides a viable option. This cutting-edge biometric security method uses unique vocal traits including pitch, tone, and speech patterns to create a unique voiceprint. Its sophisticated and dependable verification procedure, when combined with voice-activated services and secure access systems, not only solves au-thentication issues but also improves user experience overall. Our suggested method provides a thorough blueprint for developing a lightweight voice authentication system that is based on text. This system leverages an effective encoder model to convert voice spectrograms, making deployment easy even on edge devices with limited resources. Various dimensionality reduction techniques are explored to obtain optimal voice embeddings that capture speaker uniqueness while minimizing model complexity. A key novelty is the application of model compression techniques including lightweight architectures and Siamese Networks to obtain highly condensed voice embeddings for each user, reducing storage and infrastructure costs compared to traditional voice authentication methods. The proposed lightweight spectrogram embeddings leverage language-agnostic acoustic features, enabling language-independent speaker verification. Additionally, dimensionality reduction applied during voice registration allows the capturing of discriminative voice characteristics in a low-dimensional compact feature space. This significantly cuts down the storage requirements and infrastructure costs per user compared to standard voice biometric approaches, while retaining competitive verification performance. The architecture is optimized for responsiveness by leveraging lightweight frameworks. The proposed system delivers competitive voice authentication capabilities while minimizing memory, computational, and energy footprints. This makes the system useful for integration into smart devices and paves the way for ubiquitous voice biometrics.

Peer review timeline

18 Dec 2023Submitted to TechRxiv
22 Dec 2023Published in TechRxiv