Feature space reduction and classification in automatic voice quality estimation

• Autorzy: Samborska A.
• Języki publikacji: EN

Abstrakty

EN

The paper presents an approach to solve a problem of feature space reduction applied to a voice quality estimation system. In order to reduce symptom space dimensionality, a method based on of decision tree and Fisher Linear Discriminant has been introduced. On the basis of 3 discrimination tests, the patient's voice is being classified into one of 3 groups - healthy, ill or risk, obtaining 90% of correct results. The experiment involved voice recordings of 70 patients who were diagnosed by the specialist. The method has been applied to a system of automatic voice quality estimation - the SpeechAnalyser, which was designed to be a supportive tool in laryngologica. l screening tests and treatment progress monitoring. There have been also briefly introduced the algorithms of feature extraction from a voice sample and also diagnostic significance of the symptoms has been discussed. Author proposed a new approach to cepstral analysis that allows objective measuring of harmonic and subharmonic content is spectrum.

Słowa kluczowe

EN

Fisher Linear Discriminant; decision tree; cepstrum; voice quality; fundamental frequency; medical diagnostics

PL

dendryt decyzyjny; diagnostyka medyczna

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2005
• Tom: Vol. 10, no 2
• Strony: 93--102
• Opis fizyczny: Bibliogr. 7 poz., rys., wykr.

Twórcy

autor

Samborska A.

• Institute of Computer Graphics and Multimedia Systems, The Szczecin University of Technology, Żołnierska 49, 71-210 Szczecin, Poland,

Bibliografia

• [1] Gerhard D., Pitch Extraction and Fundamental Frequency: History and Current Techniques, Technical Report TR-CS 2003-06, Department of Computer Science, University of Regina, Regina, 2003.
• [2] Owens F.J., Signal processing of speech, The Maximillian Press LTD, Londyn, 1993.
• [3] Samborska A., Przetwarzanie mowy na potrzeby diagnozowania medycznego, master thesis, The Szczecin University of Technology, Faculty of Computer Science and Information Systems, 2004.
• [4] Samborska A., Voice Quality Estimation for Medical Diagnostics, Image Analysis, Computer Graphics, Security Systems and Artificial Intelligence Applications, ACS-CISIM 2006, Bialystok, 2005.
• [5] Świdziński P., Przydatność analizy akustycznej w diagnostyce zaburzeń głosu, professor thesis, Poznań, 1998.
• [6 ] Wallen E., Hanseu J., A Screening Test for Speech Pathology Assessment Using Objective Quality Measures, Department of Electrical Engineering, Duke University, Durham, 1996.
• [7] Welling M., Fisher Linear Discriminant Analysis, Department of Computer Science University of Toronto, Toronto, 1992.