Wavelet-Based Speech Denoising
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Resource Overview
MATLAB implementation of wavelet-based speech signal denoising processing, ready-to-run code with comprehensive testing and validation
Detailed Documentation
This MATLAB program implements wavelet-based denoising for speech signals, providing a directly executable version that has been thoroughly tested and verified. The implementation includes key wavelet transform functions such as wavedec for signal decomposition and waverec for reconstruction, employing thresholding techniques like soft or hard thresholding to remove noise components while preserving important speech features. The algorithm follows standard wavelet denoising workflow: decomposing the speech signal into multiple resolution levels, applying appropriate thresholding to wavelet coefficients at each level, and reconstructing the denoised signal from the modified coefficients. The code is structured with clear parameter configurations for wavelet type selection, threshold calculation methods, and decomposition levels, making it suitable for both educational and research applications in speech signal processing.
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