Phoneme Boundary Detection from Speech: A Rule Based Approach

Publication date: Available online 9 January 2019Source: Speech CommunicationAuthor(s): Pravin Bhaskar Ramteke, Shashidhar G. KoolagudiAbstractIn this paper, a novel approach has been proposed for the automatic segmentation of speech signal into phonemes. In a well spoken word, phonemes can be characterized by the changes observed in speech waveform. To get phoneme boundaries, the signal level properties of speech waveform i.e. changes in the waveform during transformation from one phoneme to the other are explored. The problem of phoneme level segmentation has been addressed in this work from two aspects 1. Segmentation of phonemes between voiced and unvoiced portions and 2. Segmentation of phonemes within voiced and unvoiced regions. Pitch and zero-frequency filter signal are used to get...

from #Head and Neck by Sfakianakis via simeraentaxei on Inoreader http://bit.ly/2Fl56E1