Papers by Ayush Kumar Krishna
International Journal for Research in Applied Science and Engineering Technology, 2019
Identity of a person via voice is one of the most interesting techniques used for user identifica... more Identity of a person via voice is one of the most interesting techniques used for user identification. Accuracy of identification process depends on the number of feature vectors and the number of speakers. This paper aims to develop a system able to identify a person and gender from his speech. Recognition relies on English words as a recognition phrase. For speaker recognition speech features used are Mel Frequency Cepstral Coefficients (MFCCs), Energy, Pitch and Zero Crossing Rate while for gender recognition only MFCCs, Energy and pitch are used. Artificial Neural Network (ANN) and Support Vector Machine (SVM) are used as classifiers. Experimental results demonstrated that the proposed system returns 97% accuracy rate for gender identification and 95% accuracy rate for speaker recognition.
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Papers by Ayush Kumar Krishna