N2 - A phoneme segmentation method based on the analysis of discrete wavelet transform spectra is described. The localization of phoneme boundaries is particularly useful in speech recognition. It enables one to use more accurate acoustic models since the length of phonemes provide more information for parametrization. Our method relies on the values of power envelopes and their first derivatives for six frequency subbands. Specific scenarios that are typical for phoneme boundaries are searched for. Discrete times with such events are noted and graded using a distribution-like event function, which represent the change of the energy distribution in the frequency domain. The exact definition of this method is described in the paper. The final decision on localization of boundaries is taken by analysis of the event function. Boundaries are, therefore, extracted using information from all subbands. The method was developed on a small set of Polish hand segmented words and tested on another large corpus containing 16 425 utterances. A recall and precision measure specifically designed to measure the quality of speech segmentation was adapted by using fuzzy sets. From this, results with F-score equal to 72.49% were obtained. L1 - http://www.journals.pan.pl/Content/104404/PDF/03_paper.pdf L2 - http://www.journals.pan.pl/Content/104404 PY - 2011 IS - No 1 EP - 47 DO - 10.2478/v10168-011-0003-2 KW - speech recognition KW - speech segmentation KW - discrete wavelet transform A1 - Ziółko, Bartosz A1 - Ziółko, Mariusz A1 - Manandhar, Suresh A1 - Wilson, Richard PB - Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics VL - vol. 36 DA - 2011 T1 - Phoneme Segmentation Based on Wavelet Spectra Analysis SP - 29 UR - http://www.journals.pan.pl/dlibra/publication/edition/104404 T2 - Archives of Acoustics