Optimization of Speech Signal Denoising Algorithm Based on Wavelet Transform
This article delves into speech signal denoising methods based on wavelet transform, and proposes an adaptive threshold based wavelet transform denoising optimization method to address the problem of poor processing performance of traditional methods in complex noisy environments. Firstly, analyze the basic principle of wavelet transform denoising. Secondly, conduct in-depth research on the mathematical model of adaptive threshold technology and apply it to wavelet transform, dynamically adjusting the threshold to meet the needs of different noise environments. Finally, experimental validation was conducted using the Aurora dataset. The experimental results show that this method can effectively remove noise.
wavelet transformspeech denoisingadaptive thresholdspeech signal
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