http://www.iaeme.com/IJARET/index.asp 677 editor@iaeme.com International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 8, August 2020, pp. 677-686, Article ID: IJARET_11_08_066 Available online at http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=8 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI: 10.34218/IJARET.11.8.2020.066 © IAEME Publication Scopus Indexed ASSESSMENT OF VOCAL FEATURES IN SUBJECTS WITH DYSARTHRIA USING KANNADA LANGUAGE SYLLABLE Latha M Research Scholar, Department of Electronics and Communication Engineering, GSSS Institute of Engineering and Technology for Women, Mysuru, Karnataka, India, Affiliated to VTU, Belagavi, Karnataka, India. Dr. M Shivakumar Principal, GSSS Institute of Engineering and Technology for Women, Mysuru, Karnataka, India, Affiliated to VTU, Belagavi, Karnataka, India. Dr. Manjula.R Former Professor, All India Institute of Speech and Hearing, Mysuru, Karnataka, India. Dr. Hemakumar G Assistant Professor, Govt. College for Women(Autonomous),Mandya,Karnataka, India. ABSTRACT The current work helps in assessing the vocal features and the phonetic structures in the production of different speech segments such as retroflex, bilabials and dentals in Kannada language. The vocal spectral features are extracted by measuring the formants for different speech segments used in the analysis. This information is helpful in developing speech recognition and speaker recognition system. In this work, analysis is performed on the bisyllabic words such as /ಪದ-p ಪಟ- p tದಪ-p ತದ/-t using Linear preiction metho From this approach, it is able to understand the phonetic process of uttered speech sounds and also to determine the pitch and formant information in normal subjects and subjects with dysarthria in Kannada Language. Key words: Speech production, LP coefficients, Pitch, Formant frequency, LP residual, Bisyllabic words, Kannada Language