Isolated word descriptors as control parameters of the computer applications

• Autorzy: Porwik P.
• Języki publikacji: EN

Abstrakty

EN

This paper is an extended version of the MIT'06 conference contribution. During the conference, many inquiries about the used techniques were performed. Hence, in the paper some parts of investigations were explained and discussed, with greater accuracy. It is shown that the computer applications can be controlled by a human voice. The computer controlling processes are available by means of utterance of isolated words, where application events with the aid of user's voice can be serviced. The voice usage can be convenient for blind or partially sighted users or for persons with limb paresis. The Microsoft application events, by means of the practicable Microsoft Windows firmware MSAA® technology can be analysed. Such technology, together with isolated word descriptors, as voice recognition system, has been presented.

Słowa kluczowe

EN

speech analysis; voice control; persons disability; MSAA technology

PL

analiza mowy; sterowanie głosem; osoby niepełnosprawne

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2006
• Tom: Vol. 10
• Strony: 35--46
• Opis fizyczny: Bibliogr. 7 poz., fig., tab.

Twórcy

autor

Porwik P.

• Institute of Informatics, Silesian University, Będzińska 39, 41-200 Sosnowiec, Poland

Bibliografia

• [1] Deller J.R. et al. Discrete-Time Processing of Speech Signals, Macmillan Pub. Company, 2000.
• [2] Huang X.D., Acero A., Hon H-W., Spoken language processing. New York, Prentice Hall, 2001.
• [3] Rabiner L.R. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proc. of the IEEE Conf., Vol. 77, No.2, 1989, pp. 257– 286.
• [4] Rabiner L. R., Juang B.H., Fundamentals of Speech Recognition, Prentice Hall, 1993.
• [5] Zieliński T.P., Cyfrowe przetwarzanie sygnałów. Od teorii do zastosowań. WKŁ, 2005.
• [6] Microsoft Active Accessibility. Version 2.0. On line Microsoft documentation.
• [7] Porwik P., User Voice Identification in Computer Applications. Proc. of the XI Int. Conf. Medical Informatics & Technology, 2006, pp. 205–211.