Start Submission Become a Reviewer

Reading: Automatic segmentation of separately pronounced Sinhala words into syllables

Download

A- A+
dyslexia friendly

Research Articles

Automatic segmentation of separately pronounced Sinhala words into syllables

Authors:

P. G. N. Priyadarshani,

Department of Statistics & Computer Science, University of Kelaniya, LK
X close

N. G. J. Dias

Department of Statistics & Computer Science, University of Kelaniya, LK
X close

Abstract

Aligned corpora are widely used in various speech applications like automatic speech recognition, speech synthesis, as well as prosodic and phonetic research. The segmentation into syllables can be done manually or automatically. But it consumes significantly more time for a fully manual phonetic segmentation and practically it is a complicated task because in many cases it requires a large aligned speech corpus.  If the manual syllabification is done by a group of individuals then the consistency is decreased because the analysis variations of the individuals. Consequently, there is a dire need for automatic syllabification and it is important because Sinhala language is syllable centric in nature. 

A method for syllabification of acoustic signals of separately pronounced Sinhala words has been given. Detecting the syllable boundaries was achieved by two main phases and those phases have been described with examples.  

Keywords: syllabification; oscillograph; vowel; consonant; envelope; threshold

DOI: http://dx.doi.org/10.4038/josuk.v6i0.4219

 J Sci.Univ.Kelaniya 6 (2011) : 35-44

DOI: http://doi.org/10.4038/josuk.v6i0.4219
How to Cite: Priyadarshani, P.G.N. & Dias, N.G.J., (2012). Automatic segmentation of separately pronounced Sinhala words into syllables. Journal of Science of the University of Kelaniya Sri Lanka. 6, pp.35–44. DOI: http://doi.org/10.4038/josuk.v6i0.4219
630
Views
799
Downloads
Published on 27 Mar 2012.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus