Speech Enhancement Using Modified Wiener Filtering With Silence Removal

Abstract

One of the most common human behaviors is speaking, which requires cooperation across several areas of the brain. Repetition of sound syllables and phrases is one of the speech disorders known as stuttering. It is most commonly associated with the human brain by pausing the sentence before speech in each block of the sentence. It has a serious negative effect on a person's ability to function and emotional condition. So we come up with the project used for stammering issues in today’s digital world. This project is simulated using MATLAB Software in two phases, In phase one, we extract the final zero frames from the input voice to remove the muteness in the real-time audio. The linear filter known as "Wiener" is modified and used to reduce audio noise in phase two. This guarantees that stuttering conditions may be hidden, allowing people to interact with society without feeling self-conscious.