DETECTION OF FILLERS IN THE SPEECH BY PEOPLE WHO STUTTER
Waldemar SUSZYŃSKI
w.suszynski@pollub.pl* Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science (Poland)
Małgorzata CHARYTANOWICZ
Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science (Poland)
Wojciech ROSA
Lublin University of Technology, Faculty of Technology Fundamentals (Poland)
Leopold KOCZAN
Lublin University of Technology, Faculty of Technology Fundamentals (Poland)
Rafał STĘGIERSKI
Lublin University of Technology, Faculty of Electrical Engineering and Computer Science (Poland)
Abstract
Stuttering is a speech impediment that is a very complex disorder. It is difficult to diagnose and treat, and is of unknown initiation, despite the large number of studies in this field. Stuttering can take many forms and varies from person to person, and it can change under the influence of external factors. Diagnosing and treating speech disorders such as stuttering requires from a speech therapist, not only good profes-sional preparation, but also experience gained through research and practice in the field. The use of acoustic methods in combination with elements of artificial intelligence makes it possible to objectively assess the disorder, as well as to control the effects of treatment. The main aim of the study was to present an algorithm for automatic recognition of fillers disfluency in the statements of people who stutter. This is done on the basis of their parameterized features in the amplitude-frequency space. The work provides as well, exemplary results demonstrating their possibility and effectiveness. In order to verify and optimize the procedures, the statements of seven stutterers with duration of 2 to 4 minutes were selected. Over 70% efficiency and predictability of automatic detection of these disfluencies was achieved. The use of an automatic method in conjunction with therapy for a stuttering person can give us the opportunity to objectively assess the disorder, as well as to evaluate the progress of therapy.
Keywords:
stuttering, fillers disfluency, automatic recognition, fillers detectionReferences
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Authors
Waldemar SUSZYŃSKIw.suszynski@pollub.pl
* Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science Poland
Authors
Małgorzata CHARYTANOWICZLublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science Poland
Authors
Wojciech ROSALublin University of Technology, Faculty of Technology Fundamentals Poland
Authors
Leopold KOCZANLublin University of Technology, Faculty of Technology Fundamentals Poland
Authors
Rafał STĘGIERSKILublin University of Technology, Faculty of Electrical Engineering and Computer Science Poland
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