Wavelet Package-Based Thresholding Methods for Speech Enhancement: A Review
نویسندگان
چکیده
Abstract— Wavelet Package Threshold Algorithm (WPTA) is an effective tool for reducing noise from speech signals. Threshold method plays a key role inWPTA. Invariant threshold method, which is commonly used, can lead to severe loss of speech information because of unchanged thresholds. In this paper, three adaptive threshold methods are investigated: Time-Frequency (TF) Threshold; Teager Energy Operator (TEO) Threshold; Adaptive Noise Estimation (ANE) Threshold. Speech signals with stationary noise and non-stationary noise, respectively, are chosen as samples to test these threshold methods. Experimental results are presented.
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