Study of effects of surgical treatment in the larynx area on the speech signal

• Autorzy: Wszołek W. , Kłaczyński M. , Modrzejewski M.
• Języki publikacji: EN

Abstrakty

EN

The speech signal emitted by humans may be a source of useful diagnostic and prognostic information. The signal may become, indirectly by some selected parameters, an additional source of information concerning the condition of the patient's vocal tract anatomy, as well as physiology and pathology (deformation) of his/her other internal organs. The paper presents the next, consecutive stage of the authors' research, concerning the search for additional parameters, which could be used for objective detection and registration of pathological changes in the larynx and vocal tract area.

Słowa kluczowe

EN

speech processing; speech analysis; pathological speech; surgical treatment

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2008
• Tom: Vol. 33, No. 4
• Strony: 497--508
• Opis fizyczny: Bibliog. 17 poz., rys., tab.

Twórcy

autor

Wszołek W.

autor

Kłaczyński M.

autor

Modrzejewski M.

• AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland,

Bibliografia

• [1] BASZTURA CZ., Sources, signals and acoustic images, WKiŁ, Warszawa 1988.
• [2] ENGEL Z., KŁACZYŃSKI M., WSZOŁEK W., A vibroacoustic model of the selected human larynx diseases, International Journal of Occupational Safety and Ergonomics (JOSE), 13, 4, 367–379 (2007).
• [3] ENGEL Z., TADEUSIEWICZ R., TOSIŃSKA–OKRÓJ H., WSZOŁEK W., Analysis of speech signals changeability as methods in the evaluation of chosen class surgery treatment, Mechanics, 12, 29–37 (1993).
• [4] ENGELKING R., General topology, The Mathematical Library, vol. 47, PWN, Warszawa 1975.
• [5] DELLER J.R., PROAKIS J.G., HASEN J.H., Discrete-Time Processing of Speech Signals, Macmillan Publishing Company, New York 1993.
• [6] GROCHOLEWSKI S., The statistical basis of ARM system for Polish language, Wydawnictwo Politechniki Poznańskiej, Poznań 2001.
• [7] GUBRYNOWICZ R., An acoustic methods in diagnostics of voice organ, [in:] Problems of Biocybernetics and Biomedical Engineering, L. Filipczy´nski, W. Torbicz [Eds.], WKiŁ, 2, 161–181 (1990).
• [8] IZWORSKI A., TADEUSIEWICZ R., WSZOLEK W., SAPINSKI B., Deformed speech processing and recognition using artificial intelligence methods, Proceedings of International Congress on Biological and Medical Engineering, 4–7th December, Singapore 2002.
• [9] Kay Elemetrics, Multi-Dimensional Voice Program (MDVP) 5015, Software Instruction Manual, New Jork 2005.
• [10] LUSZNIEWICZ A., General Statistics, PWE, Warszawa 1979.
• [11] MALEC M., Metric spaces, AGH, Kraków 2000.
• [12] Massachusetts eye and ear infirmary voice and speech lab, Disorder Database Model 4337 v. 1.03, Boston, MA, 1994.
• [13] TADEUSIEWICZ R., Speech Signals, WKiŁ, Warszawa 1988.
• [14] TADEUSIEWICZ R., FLASI´N SKI M., Image Recognition, PWN, Warszawa 1991.
• [15] TITZE I.R., Principles of Voice Production, Prentice-Hall Inc., Englewood Cliffs, New Jersey 1994.
• [16] WSZOŁEK W., KŁACZY´NSKI M., Acoustic methods of voice estimation after surgical treatment of the vocal tract, Archives of Acoustics, 30, 4 (Supplement), 193–197 (2005).
• [17] WSZOŁEK W., KŁACZY´NSKI M., Application of acoustical analysis to evalution of post-operative larynx trauma, Waves Human Biomedical Engineering, Kraków, 15, 2, 161–168 (2005).