HMM Speech Recognition Source Code Package
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Resource Overview
A comprehensive MATLAB package for Hidden Markov Model (HMM) implementation, originally discovered during HMM research. This well-structured code provides practical examples for HMM training, recognition, and evaluation algorithms, making it an excellent educational resource for understanding HMM fundamentals and applications in speech processing.
Detailed Documentation
During my research on Hidden Markov Models, I discovered this excellent MATLAB package that implements core HMM algorithms including Baum-Welch training, Viterbi decoding, and forward-backward procedures. Although I cannot recall the original source, this package serves as a valuable learning tool for understanding HMM implementation details, feature extraction methods, and pattern recognition techniques. The code demonstrates practical applications in speech recognition with clear modular structure and commented implementation. I wish to share this resource with fellow learners to support their HMM studies. Please note that this is not my original work but rather a shared educational resource.
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