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...

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Main Author: Muhamad Arif, Hashim
Format: Thesis
Language:eng
eng
Published: 2007
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
Online Access:https://etd.uum.edu.my/123/1/Muhamad_Arif_Hashim.pdf
https://etd.uum.edu.my/123/2/Muhamad_Arif_Hashim-1.pdf
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id my-uum-etd.123
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
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
qualification_name masters
qualification_level Master's degree
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.
granting_institution Universiti Utara Malaysia
granting_department College of Arts and Sciences (CAS)
publishDate 2007
url https://etd.uum.edu.my/123/1/Muhamad_Arif_Hashim.pdf
https://etd.uum.edu.my/123/2/Muhamad_Arif_Hashim-1.pdf
_version_ 1747826824570732544
spelling my-uum-etd.1232013-07-24T12:05:40Z Performance of Isolated Digit Speech Recognition in Crowded Environment. 2007-08-05 Muhamad Arif, Hashim College of Arts and Sciences (CAS) Faculty of Information Technology 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 Thesis https://etd.uum.edu.my/123/ https://etd.uum.edu.my/123/1/Muhamad_Arif_Hashim.pdf application/pdf eng validuser https://etd.uum.edu.my/123/2/Muhamad_Arif_Hashim-1.pdf application/pdf eng public masters masters Universiti Utara Malaysia Adda-Decker, M., Antoine, F., Boula de Mareuil, P., Vasilescu, I., Lamel, L., Vaissiere, J., Geoffrois, J. & Lienard,. J. S. (2003). Phonetic knowledge, phonotactics and perceptual validation for automatic language identification. Proc. 15th ICPhS, Barcelona. Aida-Zade, K. R., Ardil, C. & Rustamov, S. S. (2006). Investigation of Combined use of MFCC and LPC Features in Speech Recognition Systems. International Journal of signal Processing, 3 (2). 105-111. Bengio, S., Keller, M. & Mari'ethoz J. (2005). The Expected Performance Curve. 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