Explore MATLAB source code curated for "HMM" with clean implementations, documentation, and examples.
A MATLAB-based Hidden Markov Model implementation method for isolated word speech recognition, featuring complete training and recognition algorithms with practical code implementation details.
MATLAB-based face recognition program utilizing Hidden Markov Models (HMM), implementing DCT coefficients as facial recognition features with optimized feature extraction algorithms
Implementation of isolated English digit recognition system featuring Mel-Frequency Cepstral Coefficients (MFCC) for feature extraction and Hidden Markov Models (HMM) for pattern recognition, with Python code examples demonstrating key algorithmic components
Complete HMM implementation in MATLAB including source files, demonstration scripts, and similarity calculation programs for comparing HMM models
MATLAB toolbox for Hidden Markov Models (HMM) with comprehensive functions for model construction, training, simulation, and analysis of time-series data.
Implementation of handwriting recognition system leveraging Hidden Markov Models (HMMs) with detailed algorithmic explanations
MATLAB source code for implementing Hidden Markov Model algorithms with comprehensive training and prediction functions
MATLAB Implementation of Hidden Markov Model (HMM) Toolbox with Core Functions
Complete MATLAB implementation of Hidden Markov Models (HMM) including core algorithms and practical applications with detailed code-related descriptions