International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Volume-7,Issue-12  ( Dec, 2019 )
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Statistics report
Feb. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 84
Paper Published : 1397
No. of Authors : 3784
  Journal Paper

Paper Title
Speech Recognition System using MFCC and DTW

Abstract
This paper presents a speech recognition system. The main goal of this system is to classify the speech of the speaker. In this system, there are three main parts – (1) pre-processing, (2) feature extractions and (3) classification. The input speech is preprocessed by Voice Active Detection (VAD).Features are extracted by Mel-Frequency Cepstral Coefficient (MFCC). The input speech is classified by Dynamic Time Wrapping (DTW). There are five types of speech objects and 32 speech signals for each object. The system is processed for both user-dependent and user-independent. The overall accuracy of training data testing is 100 % for both. However, the accuracy of the real-time data testing is 44 % and52 % for user-dependent and user-independent, respectively. Therefore, user-independent system is more accuracy and less error rate than user-independent one. Index Terms - DTW, MFCC, Speech Recognition, User-Independent, VAD.


Author - Ingyin Khine, Chaw Su

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| Published on 2018-09-03
   
   
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