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基于NLMS自适应滤波的实时声音信号检测识别
引用本文:周政. 基于NLMS自适应滤波的实时声音信号检测识别[J]. 上海计量测试, 2014, 0(4): 29-32
作者姓名:周政
作者单位:无锡市计量测试中心
摘    要:在特定区域环境中,提出了一种基于NLMS自适应滤波的实时声音信号检测识别方法。该方法NLMS对滤波后的误差信号进行双门限检测,并以通过检测的疑似信号所持续的时间,作为其是否为目标信号的评判指标。通过对待处理声音文件的测试,该方法可以有效地去除非期望信号,保留目标信号,从而实现对目标信号的准确检测。

关 键 词:声音信号  NLMS滤波  特征分析  检测识别

Realtime voice signal detection and recognition study based on NLMS adaptive iflter
Zhou Zheng. Realtime voice signal detection and recognition study based on NLMS adaptive iflter[J]. Shanghai Meassurement and Testing, 2014, 0(4): 29-32
Authors:Zhou Zheng
Affiliation:Zhou Zheng ( Wuxi Measurement Testing Center)
Abstract:In a particular region environment, proposes a real-time voice signal detection and recognition method based on NLMS adaptive filter. The method of double threshold detection of the error signal after NLMS filtering, and through the suspected signal detection for extended periods of time, as if it is the evaluation index of the target signal. By treating the sound file processing test, the method can effectively remove the nonexpected signal, preserve the target signal, in order to achieve accurate detection of target signal.
Keywords:sound signal  NLMS filter  feature analysis  detection and recognition
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