基于小波熵自适应阈值的语音信号去噪新方法OA北大核心CSCDCSTPCD
New denoising method for speech signal based on wavelet entropy and adaptive threshold
针对语音信号去噪问题，提出小波熵自适应阈值去噪法。首先利用小波变换分解带噪语音信号，计算小波分解后信号子带区间的小波熵，然后将小波熵和自适应阈值相结合确定各层高频系数的阈值门限，采用折中指数阈值函数对各层高频系数进行去噪处理，重构降噪后的语音信号，最后对比小波熵自适应阈值、极大极小阈值、固定阈值和无偏风险阈值去噪方法的性能。实验结果表明，当输入信噪比为5 dB时，小波熵自适应阈值去噪法的输出信噪比是最大的，且其输入输出信噪比曲线高于其他三种阈值去…查看全部>>
For the problem of speech signal denoising，this paper proposed an adaptive threshold extraction method based on wavelet entropy. The signal with noise was disposed of wavelet decompositon， then calculated the wavelet entropy of the speech signal at decomp
CHEN Xiao-juan;WANG Wen-ting;JIA Ming-chao;SONG Na
College of Information Engineering，Northeast Dianli University，Jilin Jilin 132000，ChinaCollege of Information Engineering，Northeast Dianli University，Jilin Jilin 132000，ChinaCollege of Information Engineering，Northeast Dianli University，Jilin Jilin 132000，ChinaGezhouba Hydropower Plant，China Yangtze Power Co. ，Ltd，Yichang Hubei 443002，China
信息技术与安全科学
语音去噪小波熵自适应阈值阈值门限折中指数阈值函数
speech signal denoisingwavelet entropyadaptive thresholdthresholdcompromised index threshold function
《计算机应用研究》 2014 (3)
模拟电路的低频噪声检测方法
753-755,3
国家自然科学基金资助项目(61271115)
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