DETECTION OF FILLERS IN THE SPEECH BY PEOPLE WHO STUTTER
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 externa...
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| Format: | Article |
| Language: | English |
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Polish Association for Knowledge Promotion
2021-12-01
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| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | http://www.acs.pollub.pl/pdf/v17n4/4.pdf |
| _version_ | 1819103275277877248 |
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| author | Waldemar SUSZYŃSKI Małgorzata CHARYTANOWICZ Wojciech ROSA Leopold KOCZAN Rafał STĘGIERSKI |
| author_facet | Waldemar SUSZYŃSKI Małgorzata CHARYTANOWICZ Wojciech ROSA Leopold KOCZAN Rafał STĘGIERSKI |
| author_sort | Waldemar SUSZYŃSKI |
| collection | DOAJ |
| description | 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 professional prepa-ration, 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. |
| first_indexed | 2024-12-22T01:47:52Z |
| format | Article |
| id | doaj.art-4d68cd5b5f8c46e19befc60702c95568 |
| institution | Directory Open Access Journal |
| issn | 1895-3735 2353-6977 |
| language | English |
| last_indexed | 2024-12-22T01:47:52Z |
| publishDate | 2021-12-01 |
| publisher | Polish Association for Knowledge Promotion |
| record_format | Article |
| series | Applied Computer Science |
| spelling | doaj.art-4d68cd5b5f8c46e19befc60702c955682022-12-21T18:43:00ZengPolish Association for Knowledge PromotionApplied Computer Science1895-37352353-69772021-12-01174455410.23743/acs-2021-28DETECTION OF FILLERS IN THE SPEECH BY PEOPLE WHO STUTTERWaldemar SUSZYŃSKI0https://orcid.org/0000-0003-2990-2078Małgorzata CHARYTANOWICZ1https://orcid.org/0000-0002-1956-3941Wojciech ROSA2https://orcid.org/0000-0002-7051-6008Leopold KOCZAN 3https://orcid.org/0000-0002-7775-1836Rafał STĘGIERSKI4https://orcid.org/0000-0001-7225-3275Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science, Poland, w.suszynski@pollub.plLublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science, Poland, m.charytanowicz@pollub.plLublin University of Technology, Faculty of Technology Fundamentals, Poland, w.rosa@pollub.plLublin University of Technology, Faculty of Technology Fundamentals, Poland, l.koczan@pollub.plLublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science, Poland, rafal.stegierski@gmail.comStuttering 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 professional prepa-ration, 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.http://www.acs.pollub.pl/pdf/v17n4/4.pdfstutteringfillers disfluencyautomatic recognitionfillers detection |
| spellingShingle | Waldemar SUSZYŃSKI Małgorzata CHARYTANOWICZ Wojciech ROSA Leopold KOCZAN Rafał STĘGIERSKI DETECTION OF FILLERS IN THE SPEECH BY PEOPLE WHO STUTTER Applied Computer Science stuttering fillers disfluency automatic recognition fillers detection |
| title | DETECTION OF FILLERS IN THE SPEECH BY PEOPLE WHO STUTTER |
| title_full | DETECTION OF FILLERS IN THE SPEECH BY PEOPLE WHO STUTTER |
| title_fullStr | DETECTION OF FILLERS IN THE SPEECH BY PEOPLE WHO STUTTER |
| title_full_unstemmed | DETECTION OF FILLERS IN THE SPEECH BY PEOPLE WHO STUTTER |
| title_short | DETECTION OF FILLERS IN THE SPEECH BY PEOPLE WHO STUTTER |
| title_sort | detection of fillers in the speech by people who stutter |
| topic | stuttering fillers disfluency automatic recognition fillers detection |
| url | http://www.acs.pollub.pl/pdf/v17n4/4.pdf |
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