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根据语音信号分析方法对直升机信号进行特征分析研究,利用MATLAB仿真软件提取特征参数,通过对比两种不同型号的直升机信号在语音信号的线性预测系数(LPC)和Mel频率倒谱系数(MFCC)上的特征差异,找到能够识别两种机型的新方法。实验结果表明,两种不同型号直升机的声音信号在LPC和MFCC系数上有较明显的差别,说明两种声音信号有着本质的特征区别,可以以此来区分两种直升机声音信号,从而进行机型识别。
According to the speech signal analysis method, the characteristics of the helicopter signal are analyzed and the characteristic parameters are extracted by MATLAB simulation software. By comparing the LPC and Mel Frequency Cepstral Coefficients (MFCC) of two different helicopter signals, Feature differences, find new ways to recognize both models. The experimental results show that there are obvious differences between LPC and MFCC in the sound signals of two different helicopters, which shows that the two sound signals have essential characteristic differences, so as to differentiate the two helicopter sound signals so that the model Recognize.