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2013 | 123 | 6 | 995-1000
Article title

Signal Processing and Analysis of Pathological Speech Using Artificial Intelligence and Learning Systems Methods

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EN
Abstracts
EN
In this paper, selected results are presented of research which is carried on for over a decade and covers valuation of chosen signal processing methods suitable to analyze and valuate pathological speech. This valuation is necessary during solving many medical diagnostics problems and when planning therapy and rehabilitation of certain types of diseases. All presented examples are used in clinical practice in the area of dentistry, dental surgery, otolaryngology and most of all, in phoniatrics and speech correction.
Keywords
EN
Contributors
author
  • Faculty of Mechanical Engineering and Robotics, al. A. Mickiewicza 30, 30-059 Krakow, Poland
author
  • Faculty of Automatics and Biomedical Engineering, al. A. Mickiewicza 30, 30-059 Krakow, Poland
author
  • Faculty of Mechanical Engineering and Robotics, al. A. Mickiewicza 30, 30-059 Krakow, Poland
References
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  • [6] W. Wszołek, Methods of cognitive categorization for analysis and classification of selected cases of pathological speech, Monograph 232, AGH Publishing, Kraków 2011, (in Polish)
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  • [9] W. Wszołek, M. Kłaczyński, in: Fundamentals of Biomedical Engineering, Eds. R. Tadeusiewicz, P. Augustyniak, AGH Publishing, Kraków 2009, p. 339, (in Polish)
  • [10] S. Howard, The Cleft Palate-Craniofacial Journal 50, 207 (2013)
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Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv123n607kz
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