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.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

HMM; recognition; speech; disorders

PL

rozpoznanie; mowa; zaburzenia

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2010
• Tom: Vol. 15
• Strony: 145--152
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Wiśniewski M.

autor

Kuniszyk-Jóźkowiak W.

autor

Smołka E.

autor

Suszyński W.

Bibliografia

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