Syllable segmentation of thai human speech using stationary wavelet transform

This paper presents the Thai syllable segmentation of human speech algorithm using the 1-D stationary wavelet transform (SWT). The detail coefficient component of SWT, which represents the high frequency part of input signal, is used to analyze the boundaries of syllables. Our proposed approach, the input signals are separated into two parts. First part, the data of signal is used to find the boundaries of syllables. In the second part, the SWT is applied to the input signal. The detail coefficients of signal are used to find the center of syllables. Finally, both results are compared for syllable segmentation process. The experimental results show that the syllable segmentation of human speech using high frequency of SWT yield promising results.