MATLAB Toolbox for Speech Recognition and Speech Enhancement

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Resource Overview

This MATLAB toolbox for speech recognition and speech enhancement serves as an excellent reference implementation, featuring key algorithms like spectral subtraction, Wiener filtering, and deep learning-based enhancement techniques with practical code examples.

Detailed Documentation

The MATLAB toolbox mentioned in this article provides valuable reference material for speech recognition and speech enhancement applications. It contains comprehensive implementations of fundamental algorithms including noise reduction techniques, spectral analysis methods, and machine learning approaches for speech processing. The toolbox offers functions for feature extraction (such as MFCC computation), signal preprocessing, and real-time enhancement algorithms that can significantly improve both speech recognition accuracy and audio quality enhancement outcomes. With well-documented code structure and modular design, this resource proves highly beneficial for both academic research and engineering practices, particularly through its implementable examples of voice activity detection, adaptive filtering, and neural network-based speech enhancement models.

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