Silence Segment Detection of English Speech Signals

DOI

10.2991/ssemse-15.2015.490How to use a DOI?

Keywords

English IBT; bark wavelet transform; silence segment; voice segment

Abstract

To differentiate between silence and voice segment of English speech signal is very important in English IBT systems. In order to improve the accuracy of the end detection in traditional detection method of speech end, a silence/voice detection method of speech signals using wavelet transform parameters is proposed in this paper. Based on high performance of frequency segmentation and energy focusing of the wavelet, the statistical parameters of the speech signals on different sub bands are extracted and the effectiveness of this method is validated by simulation experiment results under different noise conditions.

Copyright

© 2015, 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  - Z.J. Chu
AU  - S.Q. Pan
AU  - J.G. Liu
AU  - L. Zhao
PY  - 2015/11
DA  - 2015/11
TI  - Silence Segment Detection of English Speech Signals
BT  - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education
PB  - Atlantis Press
SP  - 1921
EP  - 1923
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssemse-15.2015.490
DO  - 10.2991/ssemse-15.2015.490
ID  - Chu2015/11
ER  -