【作者】 董滨；

【导师】 李恒文；

【作者基本信息】 山东科技大学 ， 测试计量技术及仪器， 2003， 硕士

【摘要】 本文在对语音信号进行特性分析的基础上，主要研究了自适应滤波理论在语音信号噪声处理中的应用。 本文把数字陷波器与自适应滤波相结合，针对不同频率的信号，建立不同参数的模型，实现一个自适应的过程。通过对比自适应谱线增强和小波变换的两种方案，提出了把小波分析理论与自适应理论相结合，利用两种理论的优势，用小波分解后的若干层频段信息作为参考输入信号，实现语音信号噪声的自适应处理和重构。利用MATLAB软件和WINDOWS的录音机资源，把录取的声音信号转变为离散的数字信号，实现语音信号的采集和处理，并对上述研究做了大量的实验和仿真。更多还原

【Abstract】 The article researches on the application of adaptive filtering theory on the noise processing of speech signal based on the characteristics analysis of speech signal.The article combines the digital subsidence filtering and adaptive filtering and builds up different reference models to accomplish a adaptive process according to signals of different frequences. We bring forward the method through compare the two projects adaptive spectrum enhancement and wavelet analysis which combines the wavelet analysis and the adaptive theory and have the information of several frequence bands being the reference input signals to reach the adaptive processing and restructure of speech signal by making use of merits of the two theories. The transcribed voice signals are transformed into discrete digital signals with the matlab and recorder of windows to collect and deal with speech signals. During the procedure a lot of experiments and emulation are made.更多还原