Speech Denoising: A Comparative Study between Discrete Fourier Transform and Discrete Wavelet Packet Decomposition
The paper aims to develop of speech denoising tool by comparing fourier transform to discrete wavelet packet decomposition.Wavelet coefficients have the ability to capture important localized time and frequency features of speech.For denoising, certain wavelet packet coefficients (frequency) are set to zero and the others are thresholded.We show encouraging results using the de-noised wavelet coefficients (frequency) on small-scale experiments with speech corrupted by an artificial noise.
discrete wavelet packet decomposition wavelet packet coefficients wavelet packet frequency fourier transform
Suping Li Quansheng Jiang
Chaohu University Chaohu 238000,China
国际会议
太原
英文
520-523
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）