Staff View: Performance of Isolated Digit Speech Recognition in Crowded Environment.

Performance of Isolated Digit Speech Recognition in Crowded Environment.

Speech recognition is a process that recognizes what the speaker says. Its objective is to extract, characterize and recognize the information in the speech signal conveying what the speaker says. One of major problems in speech recognition domain is disturbance caused by background noise. This dist...

Full description

Saved in:

Bibliographic Details
Main Author:	Muhamad Arif, Hashim
Format:	Thesis
Language:	English English
Published:	2007
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://etd.uum.edu.my/123/1/Muhamad_Arif_Hashim.pdf http://etd.uum.edu.my/123/2/Muhamad_Arif_Hashim-1.pdf http://etd.uum.edu.my/123/
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.uum.etd.123
record_format	eprints
spelling	my.uum.etd.1232013-07-24T12:05:40Z http://etd.uum.edu.my/123/ Performance of Isolated Digit Speech Recognition in Crowded Environment. Muhamad Arif, Hashim TK Electrical engineering. Electronics Nuclear engineering Speech recognition is a process that recognizes what the speaker says. Its objective is to extract, characterize and recognize the information in the speech signal conveying what the speaker says. One of major problems in speech recognition domain is disturbance caused by background noise. This disturbance can decrease the effectiveness and reliability of the system and its accuracy. This research objective is to measure the performance of isolated digit speech recognition in crowded environment. VQSR prototype uses two kinds of distance measure: Euclidean distance and city block distance. Noisy digit speech, which is constructed from TIDigit speech database and cafeteria noise from CLSU database, is used to train and test the prototype. The prototype is also tested using real data that been recorded in a crowded and noisy cafeteria. Results of training and testing phases are recorded and compared between these two distance measures using a set of performance measurement analysis. This set includes Sensitivity, Specificity, Total Accuracy, False Acceptance Rate, False Rejection Rate and Half Total Error Rate analysis. Based on the performance measurement, a robust and reliable digit speech can be used by user that has high possibility of success and low probability in making errors. Finally, the proposed model and guideline in evaluating the digit speech performance can be use in other speech domain. 2007-08-05 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/123/1/Muhamad_Arif_Hashim.pdf application/pdf en http://etd.uum.edu.my/123/2/Muhamad_Arif_Hashim-1.pdf Muhamad Arif, Hashim (2007) Performance of Isolated Digit Speech Recognition in Crowded Environment. Masters thesis, Universiti Utara Malaysia.
institution	Universiti Utara Malaysia
building	UUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Utara Malaysia
content_source	UUM Electronic Theses
url_provider	http://etd.uum.edu.my/
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Muhamad Arif, Hashim Performance of Isolated Digit Speech Recognition in Crowded Environment.
description	Speech recognition is a process that recognizes what the speaker says. Its objective is to extract, characterize and recognize the information in the speech signal conveying what the speaker says. One of major problems in speech recognition domain is disturbance caused by background noise. This disturbance can decrease the effectiveness and reliability of the system and its accuracy. This research objective is to measure the performance of isolated digit speech recognition in crowded environment. VQSR prototype uses two kinds of distance measure: Euclidean distance and city block distance. Noisy digit speech, which is constructed from TIDigit speech database and cafeteria noise from CLSU database, is used to train and test the prototype. The prototype is also tested using real data that been recorded in a crowded and noisy cafeteria. Results of training and testing phases are recorded and compared between these two distance measures using a set of performance measurement analysis. This set includes Sensitivity, Specificity, Total Accuracy, False Acceptance Rate, False Rejection Rate and Half Total Error Rate analysis. Based on the performance measurement, a robust and reliable digit speech can be used by user that has high possibility of success and low probability in making errors. Finally, the proposed model and guideline in evaluating the digit speech performance can be use in other speech domain.
format	Thesis
author	Muhamad Arif, Hashim
author_facet	Muhamad Arif, Hashim
author_sort	Muhamad Arif, Hashim
title	Performance of Isolated Digit Speech Recognition in Crowded Environment.
title_short	Performance of Isolated Digit Speech Recognition in Crowded Environment.
title_full	Performance of Isolated Digit Speech Recognition in Crowded Environment.
title_fullStr	Performance of Isolated Digit Speech Recognition in Crowded Environment.
title_full_unstemmed	Performance of Isolated Digit Speech Recognition in Crowded Environment.
title_sort	performance of isolated digit speech recognition in crowded environment.
publishDate	2007
url	http://etd.uum.edu.my/123/1/Muhamad_Arif_Hashim.pdf http://etd.uum.edu.my/123/2/Muhamad_Arif_Hashim-1.pdf http://etd.uum.edu.my/123/
_version_	1644276054640033792
score	13.2442

Performance of Isolated Digit Speech Recognition in Crowded Environment.

Similar Items