Thai syllable segmentation for connected speech based on energy

This paper proposes a novel technique based on local maximum and minimum energy contour to segment syllables of connected speech. Energy contour used in this technique was obtained from five energy algorithms: the absolute energy, the root mean square energy, the square energy, Teager energy and the modified Teager energy. The experimental result was conducted on 36 utterances, 11 speakers (7 male and 4 females) for evaluation empirical threshold and parameter values in each energy algorithm. The result from our technique that is based on the local maximum and minimum energy was better than the commonly used endpoint detection technique based on level equalizer proposed by Lamel L.F et al. [1981].