MATLAB Code Implementation of Wavelet Transform for Speech Enhancement

This MATLAB program implements wavelet transform for speech enhancement applications. Through rigorous testing, the program has demonstrated outstanding performance in effectively improving speech quality. In practical applications, this program can be widely utilized in various fields such as speech recognition and audio processing systems. The core implementation leverages wavelet transform to perform detailed analysis and reconstruction of speech signals, significantly enhancing speech clarity and intelligibility. The algorithm typically involves decomposition of speech signals into different frequency bands using wavelet functions like Daubechies or Symlets, followed by thresholding techniques to reduce noise components while preserving important speech features. Key functions implemented include signal preprocessing, wavelet decomposition at multiple levels, threshold selection methods (soft/hard thresholding), and signal reconstruction. The program offers user-friendly parameter adjustments, allowing operators to easily customize settings such as wavelet type, decomposition level, and threshold values to meet specific speech enhancement requirements. The code structure emphasizes simplicity and usability, enabling both novice and experienced users to quickly adapt the program for their specific needs while maintaining flexibility for advanced parameter tuning. The implementation follows MATLAB's wavelet toolbox conventions, ensuring compatibility with standard signal processing workflows.