- Tytuł:
- Improved approach to automatic detection of speech disorders based on the hidden Markov models approach
- Autorzy:
-
Wiśniewski, M.
Kuniszyk-Jóźkowiak, W.
Smołka, E.
Suszyński, W. - Powiązania:
- https://bibliotekanauki.pl/articles/333602.pdf
- Data publikacji:
- 2010
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
rozpoznanie
mowa
zaburzenia
HMM
recognition
speech
disorders - Opis:
- In the work algorithms commonly utilized in continuous speech recognition systems were applied to detection of speech disorders. The used algorithms were briefly described and the final method of speech disorders detection was presented. The article includes the results of the short test performed in order to check the effectiveness and accuracy of the method. The aim of the test was detection and classification of fricative phonemes prolongation one of the most common speech disorders in the Polish language. It is worth emphasizing that this method enables detection of a category of speech disturbance (e.g. fricative, nasal, vowels, etc… prolongation), but also provides the information about a specific phoneme being disturbed.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2010, 15; 145-152
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł