Spectral Subtraction Speech Enhancement Algorithm

This example presents a MATLAB-implemented spectral domain speech enhancement algorithm designed to reduce noise and improve speech signal quality. The code has been successfully tested and executed in MATLAB. The algorithm aims to provide a simple yet effective method for enhancing speech intelligibility by performing frequency domain processing on audio signals, thereby minimizing noise interference and increasing speech clarity. Key implementation details include: - Utilization of Fast Fourier Transform (FFT) for time-frequency domain conversion - Implementation of magnitude spectrum subtraction for noise reduction - Application of overlap-add method for signal reconstruction - Incorporation of basic smoothing filters to mitigate musical noise artifacts The MATLAB code employs fundamental signal processing techniques including Fourier analysis and filter design principles. This practical implementation demonstrates how spectral subtraction can be effectively applied for real-time speech enhancement applications, making it suitable for research projects or embedded system development requiring noise suppression capabilities.