Performance Analysis of Kannada Phonetics: Vowels, Fricatives and Stop Consonants Using LP Spectrum

• Published in: SN computer science Vol. 1; no. 2; p. 84
• Main Authors: Latha, M., Shivakumar, M., Manjula, R.
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.03.2020; Springer Nature B.V
• Subjects: Acoustics; Advances in Computational Intelligence; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Consonants (speech); Data Structures and Information Theory; Information Systems and Communication Service; Language; Linear prediction; Original Research; Paradigms and Applications; Pattern Recognition and Graphics; Phonetics; Phonology; Resonant frequencies; Signal processing; Software Engineering/Programming and Operating Systems; Sound; Speech; Vision; Voice recognition; Vowels; Wavelet transforms; Fricatives; Linear prediction analysis; Alpha syllabary language; Formant frequency
• ISSN: 2662-995X; 2661-8907
• DOI: 10.1007/s42979-020-0088-7

Kannada is an alpha syllabary language wherein each individual akshara/alphabet having different phonetic structures can be divided into sequence of numerous consonants and vowels. In our analysis, we concentrate on vowels, fricatives and stop consonants of prerecorded samples of various subjects. The analysis is carried out with respect to basic acoustic features and spectrogram to extract formant frequency and formant analysis to identify the complex natural frequency of the vocal tract functions using linear prediction method.