Personal identification based on acoustic characteristics of outer ear using cepstral analysis, Bayesian classifier, and artificial neural networks
Author:
Affiliation:
1. Comprehensive Information Protection Omsk State Technical University Omsk Russia
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/bme2.12037
Reference18 articles.
1. Advanced Materials Homepage 2020
2. Kepstrum approach to real‐time speech‐enhancement methods using two microphones;Jeong J.;Res. Lett. Inf. Math. Sci.,2005
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