"基于谱减法的语音增强技术研究"

Speech enhancement technology is essential for improving the quality of speech signals by reducing background noise and distortion, ultimately enhancing speech intelligibility. This study focuses on the use of spectral subtraction for speech enhancement, as it has proven to be an effective method in previous research. The paper begins by discussing the significance of speech enhancement and provides a detailed comparison of various speech enhancement algorithms, highlighting their strengths and weaknesses. The study also delves into the fundamental theories behind speech enhancement to establish a strong theoretical foundation. The research methodology involves the implementation of spectral subtraction for speech enhancement, utilizing MATLAB for simulation and analysis. Additionally, the study incorporates speech active detection (VAD) for noise estimation in the speech signal. The results of the simulation demonstrate the effectiveness of the proposed algorithm in removing background noise while minimizing speech distortion. Subjective listening tests further confirm the positive impact of the spectral subtraction algorithm on speech quality. Keywords: Speech enhancement; Spectral subtraction; Noise estimation; Speech activity detection In conclusion, the research presented in this paper contributes to the field of speech enhancement technology by showcasing the practical application of spectral subtraction in improving speech quality. The findings highlight the importance of selecting appropriate algorithms for speech enhancement based on the specific requirements of the application. Future research could explore further optimization of the spectral subtraction algorithm and investigate its performance in various noise environments. Overall, the study underscores the significance of speech enhancement technology in enhancing communication quality and accessibility.