基于改进EMD-TEO倒谱距离的生猪音频信号端点检测

针对生猪音频信号识别中传统端点检测方法存在的抗噪能力差,准确率低等问题,将一种改进EMD-TEO(经验模态分解的Teager能量算子)倒谱距离的端点检测方法应用到生猪音频信号的端点检测,对生猪音频信号的2个端点检测特征参数(Teager能量参数和倒谱距离参数)进行研究.仿真试验结果表明:1)与EMD-TEO和倒谱距离端...

Endpoint detection of live pig audio signal based on improved EMD-TEO cepstrum distance

Aiming at the problem of poor antinoise ability and low accuracy in traditional endpoint detection method in pigs audio signal recognition, an improved EMD-TEO(Teager energy operator of empirical mode decomposition)cepstrum distance of endpoint detection method was applied to the pig audio signal endpoint detection. The characteristic parameters of two pigs audio signal endpoint detection were studied. The simulation results show that: 1)Compared with EMD-TEO and cepstrum distance endpoint detection method, when the signal-to-noise ratio(SNR)of Gaussian white noise is higher than that of EMD-TEO and cepstrum distance endpoint detection method, the signal-to-noise ratio(SNR)of Gaussian white noise is higher than that of emd-teo and cepstrum distance endpoint detection. When SNR is -5 dB, the accuracy rate of the improved algorithm is 84. 725%, which is 9. 857% and 16. 403% higher than the first two endpoint detection algorithms, respectively. When SNR is 10 dB, it is still better than the other two algorithms; 2)When the SNR of the background noise is 10 dB, the accuracy rate of the improved endpoint detection for pig audio signal reaches 90. 293%, which is respectively 4. 972% and 7. 932% higher than EMD-TEO and cepstrum distance endpoint detection algorithm respectively; 3)The improved algorithm has good endpoint detection effect for different types of pig audio signals. In conclusion, the improved EMD-TEO cepstrum distance endpoint detection algorithm can achieve high accuracy and robustness in the low SNR environment.