MATLAB Implementation of Speech Enhancement Algorithm

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Resource Overview

Speech enhancement algorithm based on LSA-MMSE method with modified prior SNR estimator, following Isal's paper methodology. Includes music noise elimination during speech gaps with detailed code implementation.

Detailed Documentation

This work presents a speech enhancement algorithm implementation based on the Log-Spectral Amplitude Minimum Mean-Square Error (LSA-MMSE) method. We have modified the prior signal-to-noise ratio (SNR) estimator to enhance algorithmic performance, with specific implementation details referenced from Isal's research paper. The MATLAB code implementation includes frame-based processing where each audio frame undergoes spectral analysis using FFT, followed by SNR estimation and gain function calculation. Additionally, the algorithm successfully eliminates musical noise during speech gaps through advanced noise floor tracking and spectral subtraction techniques. These improvements enable superior speech signal processing, significantly enhancing speech quality and intelligibility. The implementation features real-time capable processing with configurable parameters for frame size, overlap, and noise estimation thresholds.

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