An Improved Speech Denoising Algorithm Based on Discrete Fractional Fourier Transform
The speech signal and noise signal are the typical non-stationary signals，however the speech signal is short-stationary synchronously. Presently，the denoising methods are always executed in frequency domain due to the short-time stationarity of the speech signal. In this article，an improved speech denoising algorithm based on discrete fractional Fourier transform(DFRFT) is presented，which contains linear optimal filtering and median filtering. The simulation shows that it can easily eliminate the noise compared to Wiener filtering，improve the Signal to Noise Ratio(SNR)and enhance the original speech signal.
语音消噪 离散分数阶傅里叶变换 DFRFT算法 线性最优滤波 语音增强
Zhugao.Ding Fengqin.Yu
School of Communications and Control Engineering, Southern Yangtze University, Wuxi 214122
国内会议
苏州
英文
716-720
2007-11-01（万方平台首次上网日期，不代表论文的发表时间）