Although there is no comparative
experiment using other typical techniques, dividing the
speech signal into detailed frequency bands before applying
energy-based segmentation rules seems to be an effective
approach. A phoneme-segmentation experiment on 1000
Thai isolated-syllables from 10 speakers achieved an average
accuracy of nearly 95%