The Usage of Digital Technology in Speech Segmentation

DOI

10.2991/aebmr.k.200502.112How to use a DOI?

Keywords

segmentation, speech signals, digital technologies, spectral analysis, segmentation methods

Abstract

The digital technology means applied in the segmentative analysis of speech signals is considered in the article. To create an informative base about the existing methods of segmentation using digital technologies, which is the purpose of this article, a descriptive method of linguistics is used. For the first time, the article briefly analyzes methods of segmentation of speech signals using digital technologies, which include such analysis methods as spectral, cep spectral analysis and wavelet processing of speech signals, and the main characteristics of each method are indicated in terms of comparison. Summarizing the information presented during the study, the conclusion indicates that the spectral analysis of speech signals is acceptable for forensic studies, and the cepstral analysis of speech signals helps to determine the psycho-emotional state of the speaker. The specific software for segmenting speech signals is considered in a laboratory environment.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rzayeva Zumrud Elyar
PY  - 2020
DA  - 2020/05/05
TI  - The Usage of Digital Technology in Speech Segmentation
BT  - Proceedings of the 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020)
PB  - Atlantis Press
SP  - 694
EP  - 697
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200502.112
DO  - 10.2991/aebmr.k.200502.112
ID  - Elyar2020
ER  -