The speech synthesis detection algorithm based on cepstral coefficients and convolutional neural network

The speech synthesis detection algorithm based on cepstral coefficients and convolutional neural network

The existing approaches to detecting synthesized speech, based on the current issues of synthesizing voice sequences, are considered. The stages of the algorithm for detecting spoofing attacks on voice biometric systems are described, and its final workflow is presented. The research focuses mainly...

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Bibliographic Details
Main Authors: Roman A. Murtazin, Aleksandr Yu. Kuznetsov, Evgeny A. Fedorov, Ilnur M. Garipov, Anna V. Kholodenina, Yulia B. Baldanova, Alisa A. Vorobeva
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2021-08-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
biometric
automatic speaker verification in banking
synthetic speech
spoofing detection
cepstral analysis
convolutional neural network
Online Access:https://ntv.ifmo.ru/file/article/20581.pdf

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