A REVIEW: METHODS OF AUTOMATIC SPEECH SEGMENTATION
https://doi.org/10.55452/1998-6688-2021-18-3-89-94
Abstract
Segmentation is a process of dividing a speech signal into the basic units of language. Segmentation of the speech signals is one of the most important tasks in automatic speech processing systems. This paper proposes a review of methods of automatic speech segmentation. Moreover, methods of wavelet and Hilbert-Huang transformations and techniques based on hidden Markov models are considered.
About the Authors
A. A. Pak
Institute of Information and Computational technologies
Kazakhstan
Kazakhstan
050000, st. Pushkin 125b, Almaty
A. Zhumageldikyzy
Kazakh-British technical university
Kazakhstan
Kazakhstan
050000, st. Tole bi 59, Almaty
N. S. Ermekova
Zhetysu university named after I.Zhansugurov
Kazakhstan
Kazakhstan
040000, st. I. Zhansugurov 187a, Taldykorgan
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Review
For citations:
Pak A.A., Zhumageldikyzy A., Ermekova N.S. A REVIEW: METHODS OF AUTOMATIC SPEECH SEGMENTATION. Herald of the Kazakh-British Technical University. 2021;18(3):89-94. https://doi.org/10.55452/1998-6688-2021-18-3-89-94
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