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Journal of Telecommunictions and Information Technology
Speech segmentation is the process of dividing speech signal into distinct acoustic blocks that could be words, syllables or phonemes. Phonetic segmentation is about finding the exact boundaries for the different phonemes that composes a specific speech signal. This problem is crucial for many applications, i.e. automatic speech recognition (ASR). In this paper we propose a new model-based text independent phonetic segmentation method based on wavelet packet speech parametrization features anddoi:10.26636/jtit.2021.153321 fatcat:2zzo3nftvracddsamoopsxw7ke