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Noise removal in speech signal using fractional fourier transform

机译:使用分数阶傅里叶变换去除语音信号中的噪声

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摘要

The Fractional Fourier Transform (FRFT) technique is derived from classical Fourier Transform. It is used in many applications. In this paper Fractional Fourier Transform is applied to denoise the noisy speech signal. The white Gaussian Noise is considered here which is affecting the speech signal. The performance of Fractional Fourier Transform is evaluated for different SNR and hard thresholding value. The results are presented by the measuring parameters MAE and PSNR. It is observed with fewer thresholds and SNR value, the MAE is minimum and PSNR is good.
机译:分数傅里叶变换(FRFT)技术是从经典傅里叶变换衍生而来的。它被用于许多应用中。本文采用分数阶傅里叶变换对噪声语音信号进行去噪。这里考虑了高斯白噪声,它会影响语音信号。针对不同的SNR和硬阈值,评估了分数阶傅里叶变换的性能。结果由测量参数MAE和PSNR表示。观察到阈值和SNR值较少,MAE最小,PSNR良好。

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