CAJ | 학술논문

语音信号降噪是语音信号处理的重要方面，对人们的日常生活有重要影响。常见的降噪算法包括自适应方法及小波变换等。LMS算法是自适应算法的一种，其优点是算法实现简单，复杂度低；其主要缺点是不能同时保证算法的收敛速度和实验精度。小波阈值在处理语音信号方面也有独特的优势，其主要缺点是处理高频信号时存在失真现象。提出将两种方法结合起来，对语音信号进行两次处理，保留了每种算法的优点，同时避免单一方法带来的不利影响。实验结果表明，该方法的效果显著优于单一算法。
어음신호강조시어음신호처리적중요방면，대인문적일상생활유중요영향。상견적강조산법포괄자괄응방법급소파변환등。LMS산법시자괄응산법적일충，기우점시산법실현간단，복잡도저；기주요결점시불능동시보증산법적수렴속도화실험정도。소파역치재처리어음신호방면야유독특적우세，기주요결점시처리고빈신호시존재실진현상。제출장량충방법결합기래，대어음신호진행량차처리，보류료매충산법적우점，동시피면단일방법대래적불리영향。실험결과표명，해방법적효과현저우우단일산법。
Noise reduction is an important aspect of the voice signal processing,which has a major impact on people's dai?ly lives. The common methods of noise reduction include adaptive noise reduction algorithm and wavelet transform algorithm. LMS algorithm is one of the adaptive algorithms,whose advantages are low complexity and easy to realize,but whose main draw?backs are those which can not guarantee the convergence rate of the algorithm and the accuracy of the experimental at the same time. Wavelet threshold algorithm also has a unique advantage in dealing with the voice signal,whose main drawback is distor?tion when dealing with high?frequency signals. The combination of two methods to deal with voice signal twice to retain the ad?vantages of each algorithm and avoid the influence caused by a single method is proposed in this paper. The experimental results show that the effect of the method is significantly better than only one algorithm.