ADAPTIVE ESTIMATION OF PERIODIC NOISE ENERGY DISTRIBUTIONS FOR SPEECH ENHANCEMENT

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.