Author : Anagha Sonawane 1
Date of Publication :8th August 2017
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
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