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Speech recognition using MFCC and DTW classifier

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Bibliographic Details
Main Author: Mukrimah, Nawir
Other Authors: Dr. Muhammad Imran Ahmad
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Speech recognition
Mel frequency cepstral coefficients (MFCC)
Dynamic time warping (DTW)
Classifier
Algorithms
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41832
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spelling my.unimap-418322016-06-02T09:36:27Z Speech recognition using MFCC and DTW classifier Mukrimah, Nawir Dr. Muhammad Imran Ahmad Speech recognition Mel frequency cepstral coefficients (MFCC) Dynamic time warping (DTW) Classifier Algorithms Access is limited to UniMAP community. Speech recognition had been used broadly in many applications such as security systems, healthcare, and equipment designed for handicapped. This project is about design speech recognition by encoding and modeling the systems in the Digital Signal Processing Toolbox, using two algorithms Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) adapted for feature extraction and classification. First, record the words to accomplish the simulations of the programmed system. An experimental database is obtained by speaking 10 numbers (0-9) during the training phase. Second, that training word has been tested to be matched in order to recognize it. The analysis of coding was modified according to the four elements. They are a number of sample frequency (Fs), types of window used, number of triangles (windowing) and size of the window. From these changes elements we can get the result and determine the best performances of speech recognition. The best performance of this speech recognition using MFCC and DTW algorithms are 90% recognition rate. Thus, the designed systems actually work well in the speech recognition. 2016-06-02T09:36:27Z 2016-06-02T09:36:27Z 2015-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41832 en Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Speech recognition
Mel frequency cepstral coefficients (MFCC)
Dynamic time warping (DTW)
Classifier
Algorithms
spellingShingle Speech recognition
Mel frequency cepstral coefficients (MFCC)
Dynamic time warping (DTW)
Classifier
Algorithms
Mukrimah, Nawir
Speech recognition using MFCC and DTW classifier
description Access is limited to UniMAP community.
author2 Dr. Muhammad Imran Ahmad
author_facet Dr. Muhammad Imran Ahmad
Mukrimah, Nawir
format Learning Object
author Mukrimah, Nawir
author_sort Mukrimah, Nawir
title Speech recognition using MFCC and DTW classifier
title_short Speech recognition using MFCC and DTW classifier
title_full Speech recognition using MFCC and DTW classifier
title_fullStr Speech recognition using MFCC and DTW classifier
title_full_unstemmed Speech recognition using MFCC and DTW classifier
title_sort speech recognition using mfcc and dtw classifier
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41832
_version_ 1643799820923568128
score 13.222552

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