Identity Vector Extraction by Perceptual Wavelet Packet Entropy and Convolutional Neural Network for Voice Authentication

Identity Vector Extraction by Perceptual Wavelet Packet Entropy and Convolutional Neural Network for Voice Authentication

Recently, the accuracy of voice authentication system has increased significantly due to the successful application of the identity vector (i-vector) model. This paper proposes a new method for i-vector extraction. In the method, a perceptual wavelet packet transform (PWPT) is designed to convert sp...

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Bibliographic Details
Main Authors: Lei Lei, Kun She
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Entropy
Subjects:
i-vector
wavelet entropy
speaker authentication
CNN
Online Access:http://www.mdpi.com/1099-4300/20/8/600

Internet

http://www.mdpi.com/1099-4300/20/8/600

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