Rayleigh modeling of teager energy operated perceptual wavelet packet coefficients for enhancing noisy speech

2017 ◽  
Vol 86 ◽  
pp. 64-74 ◽  
Author(s):  
Md Tauhidul Islam ◽  
Celia Shahnaz ◽  
Wei-Ping Zhu ◽  
M. Omair Ahmad
Keyword(s):  
Wavelet Packet ◽  
Noisy Speech ◽  
Teager Energy

Endpiont Detection in Noisy Speech Signal Using Teager Energy Entropy

2014 ◽  
Vol 926-930 ◽  
pp. 1806-1809
Author(s):  
Li Hua Zhao ◽  
Xue Qing Xu
Keyword(s):  
Speech Signal ◽  
Noise Suppression ◽  
Energy Operator ◽  
Good Effect ◽  
Endpoint Detection ◽  
Noisy Speech ◽  
Low Snr ◽  
Teager Energy Operator ◽  
Energy Entropy ◽  
Teager Energy

In this paper, we propose a new method using teager energy operator and entropy to solve endpoint detection problem in noisy environment. With the teager energy operator, it is sensitive on AM and FM signal and noise suppression capability on noisy speech signal, calculate teager energy of noisy speech signal. According to the different teager energy probability distribution between noise and speech signal, teager energy entropy is different. Set two soft thresholds of four states to detect the endpoint of noisy speech signal. The simulation shows that the method has good effect of endpoint detection in low SNR conditions, the simulation results show that teager energy entropy of speech signal endpoint detection in noisy environments is feasible and effective, and improves the reliability of endpoint detection.

The Energy Distribution of Tire-Road Noise and Noisy Speech Based on Wavelet Packet

2011 ◽  
Vol 464 ◽  
pp. 721-724 ◽  
Author(s):  
Zhi Yong He ◽  
Li Heng Luo
Keyword(s):  
Energy Distribution ◽  
Speech Enhancement ◽  
Mobile Communications ◽  
Wavelet Packet ◽  
Noise Signal ◽  
Wavelet Packets ◽  
Road Noise ◽  
Noisy Speech ◽  
Time Frequency ◽  
The Difference

Speech enhancement is very important for mobile communications or some other applications in car. The energy distribution of signal is the basis of algorithms which denoise noisy speech in time-frequency domain. In this work, the noise regarded is the tire-road noise when driving in expressway. Wavelet packets transform is used in the analysis. After decomposing noise signal and noisy speech signal by wavelet packet transform, the analysis for the difference of the energy distribution between noisy speech and noise is finished.

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