Biometric voice recognition system in the context of multiple languages: using traditional means of identification of individuals in Nigeria languages and English language
Author:
Affiliation:
1. Department of Electrical Electronic Engineering, Air Force Institute of Technology, Kaduna, Kaduna State, Nigeria
2. Department of Electronic Engineering, University of Nigeria, Nsukka, Nigeria
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/27684520.2024.2362298
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4. Ajimah NE N Ezukwoke IC Dialoke A Odaba ON Iloanusi 2020. Overview of voice biometric systems: voice person identification and challenges. LGT-ECE_UNN International Conference: Technological Innovation for Holistic Sustainable Development (TECHISD2020) p. 57–62.
5. Robust voice liveness detection and speaker verification using throat microphones;Alexander D;IEEE/ACM Trans Audio Speech Lang Process,2018
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