Different segmentation criteria comparison in time-domain speech segmentation problem

Authors: Zhukova A.B., Maslennikov A.L.
Published in issue: #2(31)/2019
DOI: 10.18698/2541-8009-2019-2-436

Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing

Keywords: speech recognition, voice control, speech segmentation, segmentation criteria, Savitzky-Golay filter, moving-average filter, moving-variance filter
Published: 07.02.2019

Speech recognition is a complex technical problem which is of interest of many scientists and commercial companies. Its solution in time-domain typically requires preliminary speech segmentation, i.e. extraction of words, syllables or phonemes. In order to do that different segmentation criteria are used. Typically, those criteria are associated with signal power or signal changes frequency during a specified time interval. Segmentation criteria could be formulated differently, that results in different algorithmically and computational complexity. In this paper different segmentation criteria (associated with signal power) for extracting words from a speech signal are comparing.


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