MATLAB Implementation of MEL for Estimating GMM Parameters
MATLAB source code for Maximum Expected Likelihood (MEL) parameter estimation in Gaussian Mixture Models (GMM), featuring EM algorithm implementation with performance optimizations
Gaussian Mixture Model (GMM) Implementation Using EM Algorithm
This paper presents an effective implementation of Gaussian Mixture Models (GMM), a classic speaker recognition algorithm, using the Expectation-Maximization (EM) algorithm. The study primarily simulates GMM's noise robustness performance under various acoustic environments, yielding valuable insights for practical applications. Key implementation aspects include parameter initialization strategies and convergence criteria for the EM iteration process.
Speech Emotion Recognition System Using GMM Model
A speech emotion recognition system based on the Gaussian Mixture Model (GMM) framework, where GMM serves as a mathematical model for fitting data distributions. Discrepancies between observed data patterns and model outputs are expected since EM algorithm estimation of GMM parameters typically assumes incomplete data - meaning the algorithm computationally "completes" hidden or missing data components during parameter optimization. The system implementation involves feature extraction from speech signals, GMM parameter initialization, iterative EM updates for mean vectors, covariance matrices, and mixture weights, followed by maximum likelihood classification for emotion categorization.
GMM-Based Speech Recognition Implementation with Detailed Code
A comprehensive and practical implementation of Gaussian Mixture Model (GMM) for speech recognition, featuring detailed code structure and algorithm explanations
Speaker Recognition GMM Model Training
MATLAB implementation for GMM speaker recognition model training, requiring integration with Voicebox toolbox for MFCC feature extraction and k-means clustering initialization.
Maximum Expected Likelihood (MEL) for GMM Parameter Estimation in MATLAB
Implementation of Maximum Expected Likelihood algorithm for Gaussian Mixture Model parameter estimation using MATLAB's statistical and matrix computation capabilities.