International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,August 2017,

Topic : Synthetic Speech Spoofing Detection using MFCC and SVM

Authors:Anagha Sonawane || M.U.Inamdar

Abstract:In the recent times synthetic voice is used to deceive a speaker recognition based biometric access systems. This paper presents synthetic speech detection in automatic speaker verification system (ASV) for spoof detection. Canonical Mel Frequency Cepstral Coefficients (MFCC) algorithm is used for feature extraction and Support Vector Machine (SVM) is used for classification of natural and synthetic voice. Several experiments are carried out on ASVspoof 2015 database, showing that nonlinear SVM performs better than linear SVM.

Keywords: Synthetic speech detection; Spoof recognition; Automatic speaker verification; MFCC; SVM.

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DOI: 01.1617/vol4/iss8/pid47590


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ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
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