Adaptive Estimation of Periodic Noise Energy Distributions for Speech Enhancement

Thomas Weickert

Speech Enhancement aims at denoising a noisy speech signal and to extract the clean speech. In this work, nonstationary periodic noise is regarded. The coefficient energy distribution of a period of noise is analyzed by a Period Wavelet Packet transform. This transform can analyze signals of arbitrary (non-dyadic) length. The estimated coefficient energy distribution can be used as a threshold for wavelet thresholding techniques. The efficiency of the algorithm and its sensitivity to period variations is evaluated.

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