Discrimination of Speech and Ship-radiated Noise Based on Frequency Spectrum Similarity

DOI

10.2991/esac-15.2015.17How to use a DOI?

Keywords

Discrimination, Similarity, Frequency spectrum, Two-stage approach, Context smoothing

Abstract

In this paper, the discrimination of speech and ship-radiated noise has been studied, for their interference with each other in the modern sea war, and a new feature abbreviated as SFSD (the Similarity of the Frequency Spectrum Distribution of two successive signal frames) is introduced. Based on the feature, a new two-stage approach is proposed, which firstly computes the SFSF and classifies the signal into speech or ship-radiated noise roughly, and then in the second stage, with the help of context smoothing, the signal are final discriminated in to speech or ship-radiated noise. The algorithm is benchmarked on a large measured data set, with correct recognition accuracy of 96% for ship-radiated noise and that of 92% for speech. Experimental results show that efficiency is exceptionally good.

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  - Dawei Li
AU  - Rijie Yang
AU  - Jianhui Han
PY  - 2015/08
DA  - 2015/08
TI  - Discrimination of Speech and Ship-radiated Noise Based on Frequency Spectrum Similarity
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 67
EP  - 70
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.17
DO  - 10.2991/esac-15.2015.17
ID  - Li2015/08
ER  -