Speaker Dependent Speaker Recognition Using Svm and Hmm
نویسنده
چکیده
Speaker recognition is the process of recognizing the speaker based on characteristics such as pitch, tone in the speech wave.Background noise influences the overall efficiency of speaker recognition system and is still considered as one of the most challenging issue in Speaker Recognition System (SRS). Support Vector Machine (SVM) and Hidden Markov Model (HMM) are widely used techniques for speech recognition system. Acoustic features like Mel Frequency Cepstral Coefficients (MFCC) are extracted. Finally a speaker recognition using MFCC for feature extraction and SVM and HMM for classification then compares the two techniques on the basis of identification rate.
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