Abstract
This paper proposes a phoneme segmentation method based on pattern similarity measurement between two consecutive time-series voiced speech signal. System first performs pitch detection by using dyadic wavelet transform. Then, Pattern similarity measurement has been carried out to act as phoneme boundaries detector. Output result has been compare to manual phonemic segmentation. Proposed method proves effective in finding phoneme boundaries.
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