Optimization of Speech Enhancement Algorithm Based on Spectral Decomposition
In order to improve the accuracy of information transmission,the optimization method of speech enhancement algorithm based on spectral decomposition is studied. Firstly,the basic principle of spectral decomposition is explained. Secondly,convex optimization technique is introduced to improve the traditional spectral decomposition method. Finally,the validity of the method is verified by open data set. The results show that the spectral decomposition method based on convex optimization can improve the speech enhancement effect under different noise environments,and shows a higher signal-to-noise ratio and lower mean square error than the traditional method,which verifies the effectiveness and superiority of the optimization method,and provides a new idea and method for the development of speech enhancement technology.
万方数据
维普
