MATLAB Implementation of Spectral Subtraction-Based Speech Enhancement

This provides the MATLAB source code implementation for spectral subtraction-based speech enhancement. Spectral subtraction is a widely used speech enhancement algorithm that effectively reduces noise in speech signals while improving audibility and clarity. The MATLAB implementation involves performing spectral analysis on the speech signal and applying subtraction operations in the frequency domain. Key implementation steps include: - Frame-based processing using overlapping windows (typically Hamming or Hanning windows) - Fast Fourier Transform (FFT) for spectral decomposition - Noise estimation during non-speech segments - Spectral subtraction with proper oversubtraction factors and spectral floor parameters - Inverse FFT and overlap-add reconstruction The algorithm can be applied to various speech processing tasks such as speech recognition, speech synthesis, and audio preprocessing. By examining and running the MATLAB source code, users can gain deeper understanding of spectral subtraction principles, including practical implementation aspects like parameter tuning, real-time processing considerations, and performance evaluation metrics. The code demonstrates proper handling of phase information, frame synchronization, and artifact reduction techniques essential for robust speech enhancement systems.