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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/111

Title: A VECTOR QUANTIZATION APPROACH TO ISOLATED-WORD AUTOMATIC SPEECH RECOGNITION
Authors: Mohammad Abd-AlRahman, Mahmoud Abushariah
Keywords: Isolated-Word Automatic Speech Recognition (IWASR) System
Issue Date: Nov-2006
Abstract: The aim of this research is to develop an Isolated-Word Automatic Speech Recognition (IWASR) System based on Vector Quantization (VQ) approach. This system receives speech inputs from users, analyzes the speech inputs, searches and matches the input speech with the pre-recorded and stored speeches in the trained database/codebook, and returns the matching result to the users. Developing this system is meant to assist customers calling a university’s telephone operator to respond to their enquiries in a fast and convenient way using their natural speech. Callers are assisted using their own speech inputs to select their language preference, faculty in a university and finally select the staff name they wish to contact. To extract features from the speech signals the Mel-Frequency Cepstral Coefficients (MFCC) algorithm was applied. Subsequently, Vector Quantization (VQ) algorithm based on the principle of block coding was used for all feature vectors generated from the MFCC algorithm. A codebook was resulted from training the VQ initial codebook and experimental results showed that the recognition rate has been improved with the increase of codebook size. Simulation results showed that the codebook size of 81 feature vectors had a recognition rate exceeded 85%.
Description: Master of Software Engineering
URI: http://dspace.fsktm.um.edu.my/handle/1812/111
Appears in Collections:Masters Dissertations: Computer Science

Files in This Item:

File Description SizeFormat
COVER PAGE.pdfCover21.29 kBAdobe PDFView/Open
Preliminaries.pdfPreliminaries41.89 kBAdobe PDFView/Open
Chapter 1.pdfChapter 143.23 kBAdobe PDFView/Open
Chapter 2.pdfChapter 2148.68 kBAdobe PDFView/Open
Chapter 3.pdfChapter 3206.57 kBAdobe PDFView/Open
Chapter 4.pdfChapter 4356.03 kBAdobe PDFView/Open
Chapter 5.pdfChapter 51.72 MBAdobe PDFView/Open
Chapter 6.pdfChapter 689.45 kBAdobe PDFView/Open
Chapter 7.pdfChapter 722.84 kBAdobe PDFView/Open
Appendix A.pdfAppendix A21.16 kBAdobe PDFView/Open
References.pdfReferences43.79 kBAdobe PDFView/Open


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