Automatic text-independent speaker verification using convolutional deep belief network

Automatic text-independent speaker verification using convolutional deep belief network

This paper is devoted to the use of the convolutional deep belief network as a speech feature extractor for automatic text-independent speaker verification. The paper describes the scope and problems of automatic speaker verification systems. Types of modern speaker verification systems and types of...

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Bibliographic Details
Main Authors: I.A. Rakhmanenko, A.A. Shelupanov, E.Y. Kostyuchenko
Format: Article
Language:English
Published: Samara National Research University 2020-08-01
Series:Компьютерная оптика
Subjects:
speaker recognition
speaker verification
gaussian mixture models
gmm-ubm system
speech features
speech processing
deep learning
neural networks
pattern recognition
Online Access:http://computeroptics.smr.ru/KO/PDF/KO44-4/440414.pdf

Internet

http://computeroptics.smr.ru/KO/PDF/KO44-4/440414.pdf

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