软件导刊2019，Vol.18Issue(1)：162-165,4.DOI:10.11907/rjdk.181707
基于子带能量分析的数字接收机数据语音段识别方法研究
Research on Recognition Method of Speech Segments Based on Sub-band Energy Analysis in Digital Receiver Data
黄均安 1詹毅2
作者信息
- 1. 杭州电子科技大学 通信工程学院,浙江 杭州 310018
- 2. 中国电子科技集团第36研究所,浙江 嘉兴 314033
- 折叠
摘要
Abstract
The intercepted data contains pure noise, frequency-fixed with erroneous judgement of speech as well as others non-speech signal sections in the field of radio interception.Hence, it causes a decline in staff's efficiency.Aiming at this problem, a speech recognition algorithm based on the sub-band energy analysis is proposed.In view of the fact that a phenomenon of intercepted data that exists range hop on the time domain.Firstly, the histogram analysis is made to get sub-data segments.Secondly, each sub-data segment is analyzed by means of sub-band energy analysis.Finally, to pick up the characteristic parameter is to achieve recognition of speech signal segments.As the simulation result shows that the method can not only section interception data with much accuracy, but also recognize speech segments.关键词
纯噪音/定频数字调制信号/子带能量/语音段识别/无线电侦听Key words
pure noise/frequency-fixed digital modulation signal/sub-band energy/speech segments recognition/radio interception分类
信息技术与安全科学引用本文复制引用
黄均安,詹毅..基于子带能量分析的数字接收机数据语音段识别方法研究[J].软件导刊,2019,18(1):162-165,4.
