Speech-Activated Telephone Directory Assistance.

Speech-Activated Telephone Directory Assistance.

In everyday life people are all liable to find themselves in an emergency situation and, more commonly, will require to be alerted to signals that give a warning or indication of action to be taken. The means to access services and equipment to ensure safety and comfort are well known, readily avail...

Full description

Saved in:
Bibliographic Details
Main Author: Alameady, Mali H. Hakem
Format: Thesis
Language:eng
eng
Published: 2007
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
Online Access:https://etd.uum.edu.my/37/1/mali.pdf
https://etd.uum.edu.my/37/2/mali.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uum-etd.37
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
Alameady, Mali H. Hakem
Speech-Activated Telephone Directory Assistance.
description In everyday life people are all liable to find themselves in an emergency situation and, more commonly, will require to be alerted to signals that give a warning or indication of action to be taken. The means to access services and equipment to ensure safety and comfort are well known, readily available and usually at little or no cost. Majority of public emergency services are accessed by telephone for example the access to the Fire, Police and Ambulance services by picking up the telephone and dialing 994, 999 etc. However, less-able people such as elderly, disabled, children and lower-educated may not be able to use the services that are available because of disability or find equipment that will ensure personal safety and confort. Hence, this study aims to propose a speech activated telephone assistance K-Nearest Neighbours. User only needs to give command through voice, and then the system will assist the caller to search the telephone directory and dial the required phone number. This can fasten the dialing as the user no need search or recall the number. The system include three main module namely, Speech Features Extraction Module; that extracts the speech features. Speech Recognition Module; that classifies spoken word ("Fire", "Ambulance" and "Police") and Automated Dialing; that searches and dials the number that matched with the spoken word.
format Thesis
qualification_name masters
qualification_level Master's degree
author Alameady, Mali H. Hakem
author_facet Alameady, Mali H. Hakem
author_sort Alameady, Mali H. Hakem
title Speech-Activated Telephone Directory Assistance.
title_short Speech-Activated Telephone Directory Assistance.
title_full Speech-Activated Telephone Directory Assistance.
title_fullStr Speech-Activated Telephone Directory Assistance.
title_full_unstemmed Speech-Activated Telephone Directory Assistance.
title_sort speech-activated telephone directory assistance.
granting_institution Universiti Utara Malaysia
granting_department College of Business (COB)
publishDate 2007
url https://etd.uum.edu.my/37/1/mali.pdf
https://etd.uum.edu.my/37/2/mali.pdf
_version_ 1747826831785984000
spelling my-uum-etd.372013-07-24T12:05:23Z Speech-Activated Telephone Directory Assistance. 2007-05 Alameady, Mali H. Hakem College of Business (COB) Faculty of Information Technology TK Electrical engineering. Electronics Nuclear engineering In everyday life people are all liable to find themselves in an emergency situation and, more commonly, will require to be alerted to signals that give a warning or indication of action to be taken. The means to access services and equipment to ensure safety and comfort are well known, readily available and usually at little or no cost. Majority of public emergency services are accessed by telephone for example the access to the Fire, Police and Ambulance services by picking up the telephone and dialing 994, 999 etc. However, less-able people such as elderly, disabled, children and lower-educated may not be able to use the services that are available because of disability or find equipment that will ensure personal safety and confort. Hence, this study aims to propose a speech activated telephone assistance K-Nearest Neighbours. User only needs to give command through voice, and then the system will assist the caller to search the telephone directory and dial the required phone number. This can fasten the dialing as the user no need search or recall the number. The system include three main module namely, Speech Features Extraction Module; that extracts the speech features. Speech Recognition Module; that classifies spoken word ("Fire", "Ambulance" and "Police") and Automated Dialing; that searches and dials the number that matched with the spoken word. 2007-05 Thesis https://etd.uum.edu.my/37/ https://etd.uum.edu.my/37/1/mali.pdf application/pdf eng validuser https://etd.uum.edu.my/37/2/mali.pdf application/pdf eng public masters masters Universiti Utara Malaysia AILIA Inc. (2004). The Canadian Speech Processing Industry. Report of Technology Roadmap (2003-2007). Available at: http://www.ailia.ca/documentVault/Rpts/The- Canadian-Speech-Processing-Industry.pdf Belkin, N., & Croft, B. (1992). "Information filtering and informatiuon retrieval". Communications of the ACM,35, pp. 29-37. Bailey,j. & Bakos, y.,(1997). "An Exploratory Study of the Emerging Role of Electronic Intermediaries." International Journal of Electronic Commerce , 1(3), Spring 1997. Franco, H., Weiniruub, M. & Cohen, M.,(1997). "Context Modeling in a Hybrid HMMNeural Net Speech recognition System", Proceedings of the International Conference on Neural Networks, Houston, TX, 1997 Fukuda, S. and V. Kostov, (1999)"Extracting Emotion from Voice," Proceedings of IEEE International Workshop on Systems, Man, and Cybernetics, vol. 4, 1999, pp.299-304. Kjell E. & Gyorgy T. ,(2000). Acoustic-phonetic recognition of continuous speech by artificial neural networks. Technical Report STL-QPSR 2-3/1990, Institutionen f'or tal, musik och h"orsel, KTH, Stockholm, Sweden, 2000. Gosztolya,G A. Kocsor, L. & Felf,1.,(2003). Various Robust Search Methods in a Hungarian Speech Recognition System, Acta Cybernetica 16., pp. 229- 240., 2003. Golbeck, J. & Hendler, J. ,(2004). Reputation Network Analysis for Email Filtering .University of Maryland, College Park . from Available at: http://www.ceas.cc/papers-2004/177.pdf Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design Science in Information Systems Research. MIS Qttarterly, 28(1), pp. 75-105. Available at: http://www.misq.org/PLS2.Call.pdf Jelinek ,F,(2001). Statistical Methods for Speech Recognition, The MIT Press, 1997.7. X. Huang, A. Acero and H.-W. Hon, Spoken Language Processing, Prentice Hall PTR, 2001. Robert J. R., Kelly, R. , Abu-Amer, T. ,& Walsh, M.(2001). Speaking Autonomous ntelligent ,Devices Department of Computer Science, University College Dublin, Ireland, Retrieved on junuary-2007. Sadeh, N. ,Eriksson, J. , Finne, N. & Janson, S. ,(2003). TAC-03: A supply-chain trading competition. A1 Magazine, 24(1):92-94. Kocsor, L. T - oth, A., Kuba Jr., K., Kov - acs, M., Jelasity, T., Gyim-othy & Csirik,,J.(2000). A Comparative Study of Several Feature Space Transformation and Learning Methods for Phoneme Classi - cation, International Journal of Speech Technology, Vol. 3, Number 3/4, pp. 263-276, 2000. Ishikawa, Sh. & Ikeda, T.,(2004). Speech-Activated text retrieval system for multimodal cellular phones, Proceedings of IEEE . PP. 1-453 - 1-456. Lesser, V. , Horling, V., Klassner, V. , Raja, A. Wagner, T. & Zhang, S. , X. ,.(2000). Big: an agent for resource-bounded information gathering and decision making. Artif. Intell., 118(1-2): 197-244. Nouza, J., Nouza, T.,(2004). A Voice Dictation System for a Million- Word Czech Vocabulary. Department of Electronics and Signal Processing Technical University of Liberec, pp. 149-152. Wu ,Ch .& Chen , J,(1997). Speech Activated Telephony Email Reader based on speaker verification and text-to-speech conversion, Proceedings of IEEE Transactions on Consumer Electronics, pp. 707-716 , Vol. 43, No. 3, AUGUST 1997.

Similar Items