Advances in International Computer Science

With the widespread application of speech communication and speech recognition technologies, the problem of speech signal noise reduction has increasingly become a research focus. Digital Signal Processing (DSP) technology holds significant application value in speech noise reduction algorithms. Through various algorithm optimization methods, it can effectively suppress background noise and improve the clarity and intelligibility of speech signals. This paper aims to explore the optimization methods and implementation paths of digital signal processing technology in speech noise reduction, mainly focusing on technologies such as frequency-domain processing, time-domain filtering, and adaptive noise control. By analyzing different noise reduction algorithms, an optimization scheme with stronger adaptability and better noise reduction effect is proposed. Experimental results show that the speech noise reduction algorithm based on digital signal processing can significantly improve speech quality and has good real-time performance and robustness.

Digital signal processing; Speech noise reduction; Algorithm optimization; Adaptive filtering; Noise suppression