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
tದಪ-p
ತದ/-t using Linear preiction 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