Explore MATLAB source code curated for "GMM" with clean implementations, documentation, and examples.
MATLAB source code for estimating Gaussian Mixture Model (GMM) parameters using Expectation-Maximization algorithm, suitable for solving various machine learning problems including clustering, classification, and anomaly detection
The GMM-based Probabilistic Neural Network (PNN) demonstrates exceptional generalization capabilities, rapid learning efficiency, easy online updating, and is grounded in Bayesian estimation theory from statistics. It has become a highly effective tool for solving challenging classification problems such as speaker recognition, character recognition, medical image recognition, and satellite cloud pattern recognition. Notably, PNN not only inherits most advantages of GMM but also offers additional benefits including strong robustness, reduced training data requirements, and seamless integration with other networks and theories.
Implementation of speaker identification using MFCC feature extraction and Gaussian Mixture Model (GMM) with code-level implementation insights
This MATLAB implementation of Gaussian background modeling processes input videos to generate binary foreground-background segmentation videos and extracted background videos. The code includes comprehensive annotations to help beginners understand the algorithm flow, key parameters like learning rate and mixture components, and implementation techniques for real-time video processing.
GMM-based speaker recognition system achieving over 90% identification accuracy with optimized feature extraction and model training
Implementation of multi-class data clustering using K-means, Gaussian Mixture Models (GMM), and hierarchical clustering algorithms. Includes comprehensive experimental report with code implementation details, algorithm specifications, and performance comparisons.
A MATLAB-implemented speaker recognition system leveraging Gaussian Mixture Models (GMM) for voiceprint identification, featuring complete workflow implementation from feature extraction to model training and recognition.
MATLAB implementation of GMM-based video background extraction, featuring a custom implementation of OpenCV's cvCreateGaussianBGModel function with detailed algorithm explanations and code structure.
GMM - Optimized Gaussian Mixture Model Implementation with Comprehensive Demo
gmmTrain: Parameter estimation and model fitting for Gaussian Mixture Models using EM algorithm implementation