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Automatic understanding of acoustic speech signal pathology

Autorzy
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this work, parts of the research concerning a new concept of applying computer technique in pathological speech analysis have been presented. This new concept assumes that during the pathological speech analysis we are not aiming neither at the establishing of such or other signal parameters nor at the trying to classify them, but we tend to understand automatically the causes of deformation, which can be observed in the considered signal. Therefore the concept presented postulates the replacing the well known process of the pathological speech acoustic signal recognition by a more advanced method of analysis, which means a confrontation of the features, which are revealed in the signal during its transformation with features that could be expected basing on the knowledge gathered in the system concerning pathological factors deforming the true form of the signal. In the meaning of the term "automated understanding", this denotes a signal analysis of a deformed speech, which is oriented towards revealing the sources of the observed signal distortions, and not towards bare analysis of their patterns and diagnostic deduction based on their typology. In the work the basic elements of the proposed method are presented. Examples showing its essence were derived basing on the selected larynx pathology analysis.
Rocznik
Strony
147--163
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
  • AGH University of Science and Technology, Department of Mechanics and Vibroacoustics, Al. Mickiewicza 30, 30-059 Kraków, Poland, wwszolek@agh.edu.pl
Bibliografia
  • [1] TADEUSIEWICZ R., WSZOŁEK W., WSZOŁEK T, IZWORSKI A., Methods of arti_cial intelligence for signal parameterisation used in the diagnosis of technical and biological systems, 4th World Multiconference on Systemics, Cybernetics and Informatics, July 23.26, 2000 Orlando, FL, USA, Proceedings on CD.
  • [2] TADEUSIEWICZ R., WSZOŁEK W., IZWORSKI A., WSZOŁEK T., Methods of deformed speech analysis, Proceedings, InternationalWorkshop Models and Analysis of vocal Emissions for Biomedical Applications, Firenze, Italy, 1.3, 132.139, September 1999.
  • [3] TADEUSIEWICZ R., OGIELA M. R., Understanding of Medical Images. New achievements in syntactic analysis of selected medical images, 5th Polish-Japanese Seminar on Biomedical Measurements, New Methods for Medical Diagnosis, Zakopane 2001.
  • [4] TADEUSIEWICZ R., OGIELA M. R., Automatic understanding of medical images . New achievements in syntatic analysis of selected medical images, Biocybernetics and Biomedical Enginneering, 22, 4, 17.29 (2003).
  • [5] TADEUSIEWICZ R., OGIELA M. R., Machine perceptron and automatic understanding of medical visualization, Automatic Image Processing in Production Process. Second Polish-German Seminar, CAMT, 39.48, Wrocław 2003.
  • [6] WSZOŁEK W., TADEUSIEWICZ R., IZWORSKI A., WSZOŁEK T., Recognition and understanding of the pathological speech using arti_cial intelligence methods, Hanza M. H. [Ed.], Artificial Intelligence and Applications, IASTED, ACTA Press Anaheim-Calgary_Zurich, 504.508, 2002.
  • [7] LEŚ Z., TADEUSIEWICZ R., Shape understanding system . generating exemplars of the polygon class, [in:] Computer Graphics and Imaging, Hamza M. H., Sarfraz E. [Eds.], IASTED/ACTA Press, pp. 139.144, Anaheim, Calgary, Zurich, 2000.
  • [8] OGIELA M. R., TADEUSIEWICZ R., Automatic understanding of selected diseases on the base of structural analysis of medical images, Proc. Int. Conference on Acoustics and Speech Signal Processing, Salt Lake City 2001.
  • [9] TADEUSIEWICZ R., OGIELA M., Automatic understanding of patterns [in Polish], XIV Krajowa Konferencja Automatyki, Zielona Góra, 24.27 June 2002.
  • [10] TADEUSIEWICZ R., IZWORSKI A., WSZO_EK W., Pathological speech evaluation using the artificial intelligence methods, Proc. World Congress on Medical Physics and Biomedical Engineering, September 14.19, Nice, France, 1997.
  • [11] KACPROWSKI J., Physical models of larynx source [in Polish], Archives of Acoustics, 12, 1, 47.70 (1977).
  • [12] GUBRYNOWICZ R., Computer modeling articulation of sounds of Polish language [in Polish], IFTR Reports, Warszawa 2000.
  • [13] RANACHOWSKI J., Problems and methods of contemporary acoustics [in Polish], PWN,Warszawa-Poznań 1989.
  • [14] TITZE I. R., Principle of voice production, Prentice Hall, Englewood Cliffs, New Jersey 1994.
  • [15] TITZE I., Workshop on acoustic voice analysis, National Center for Voice and Speech, NCVS 1999.
  • [16] MODRZEJEWSKI M., Effectiveness of the treatment cancer of the glottis [in Polish], Rozprawa habilitacyjna, Kraków 1996.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT8-0003-0069
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