Research On Speech Signal Processing Algorithm Based On Microphone Array

In many industries,the category of voice communication has developed into the most basic communication method.In daily life,it plays a pivotal role.People make calls and all kinds of multimedia tools need to use voice communication.This feature.Different from the sounds in nature,voice is a form of human expression of their own ideas,with personal emotions and attitudes.Among the various communication methods in society,voice communication is the most efficient and the most convenient.However,with the current level of technological development,no acoustic organization can guarantee that it can avoid noise interference in voice communication.These noises and enhancements not only affect the intelligibility of the sound,but also cause a significant drop in the performance of the sound processing system.This paper adopts an improved speech enhancement algorithm,carries out parameter analysis and simulation experiments on it,this method can effectively purify pure speech from many complex noises,and the speech quality has a considerable degree of enhancement.Regarding voice enhancement,one of the most common enhancement methods is microphone array voice enhancement.This method has been applied in many fields,not limited to audio/video conferencing.This paper focuses on the research based on the microphone array technology.The improved algorithm uses the delay sum algorithm in the generalized side-lobe cancellation algorithm to obtain the voice signal directly to the array based on the speech information,and processes it with the blocking matrix and the adaptive algorithm,The processed results are superimposed according to the weight coefficient,which will generate a new signal.Afterwards,adaptive noise reduction is performed to facilitate the anti-aliasing speech.The object of processing is the iterative error signal obtained in the generalized side-lobe cancellation algorithm.Finally,an extremely effective method is used to suppress the residual incoherent noise-Wiener filtering,which can greatly enhance the obtained speech signal.Experimental comparison shows that the improved algorithm can effectively improve the voice quality in a reverberant environment.