Title :
An improved method for speech signal processing based on adaptive filter
Author :
Yunfei Kan ; Hongyang Yu ; Yong Hu
Author_Institution :
Res. Inst. Electron. Sci. & Technol., UESTC, Chengdu, China
Abstract :
Based on the adaptive filtering mode, we discussed and analyzed how to improve the quality of microphone array speech enhancement and reduce the complexity of the algorithm. This paper described a new variable step least mean square (LMS) algorithm which could reduce the effect of input noise to step factor, improve the performance of the algorithm. The algorithm smoothed the step factor in time domain when they were in the process of iteration so that we could eliminate the influence on the overall trend when updating the step. Also we used the Sigmoid function to control direction of the update trend. Our results validated the new variable step algorithm has good performance.
Keywords :
adaptive filters; iterative methods; least mean squares methods; microphone arrays; speech enhancement; LMS algorithm; Sigmoid function; adaptive filtering mode; iteration process; least mean square algorithm; microphone array speech enhancement; speech signal processing; time domain; variable step algorithm; Adaptive filters; Convergence; Filtering algorithms; Least squares approximations; Noise; Signal processing algorithms; Speech processing; Adaptive filtering; Algorithm; Least Mean Square; Variable step;
Conference_Titel :
Communication Problem-Solving (ICCP), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-4246-6
DOI :
10.1109/ICCPS.2014.7062304
