Performance Evaluation of Human Voice Recognition System based on MFCC feature and HMM classifier
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چکیده
منابع مشابه
Effect of Time Derivatives of MFCC Features on HMM Based Speech Recognition System
In this paper, improvement of an ASR system for Hindi language, based on Vector quantized MFCC as feature vectors and HMM as classifier, is discussed. MFCC features are usually pre-processed before being used for recognition. One of these pre-processing is to create delta and delta-delta coefficients and append them to MFCC to create feature vector. This paper focuses on all digits in Hindi (Ze...
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تاریخ انتشار 2014