HMM Hidden Markov Model Source Code with Training Implementation
HMM Hidden Markov Model source code featuring model training capabilities with Baum-Welch algorithm implementation
MATLAB Implementation of Hidden Markov Models (HMM) with Algorithmic Explanations
Implementation of Hidden Markov Models (HMM) using MATLAB with code structure and key function descriptions
Principles of Hidden Markov Models with MATLAB Implementation
Comprehensive explanation of Hidden Markov Model principles accompanied by MATLAB code implementation, including executable demos to demonstrate HMM workflow and practical applications
HMM MATLAB Source Code and Related Resources
HMM MATLAB source code implementation and comprehensive materials for Hidden Markov Models
Comprehensive MATLAB Implementation of Hidden Markov Models (HMM)
A high-quality MATLAB code collection for Hidden Markov Models developed by Cambridge University researchers
HMM-Based Speech Recognition System Developed Using MATLAB
A MATLAB-implemented Hidden Markov Model (HMM) speech recognition system with comprehensive feature extraction and post-processing capabilities.
HMM-Based Digital Speech Recognition System
This is a Hidden Markov Model (HMM) based digital speech recognition system that accurately recognizes digits 0-9. The implementation features a MATLAB GUI interface for recording and playback operations, incorporates preprocessing modules to enhance recognition accuracy, and includes sample audio files for demonstration purposes.
MATLAB Implementation of the EM Algorithm for Parameter Estimation
MATLAB implementation of the Expectation-Maximization (EM) algorithm, a classic method for parameter training in stochastic process models like Hidden Markov Models (HMMs), featuring code structure and key function explanations
MATLAB Code Implementation for Speech Recognition System
A MATLAB-based speech recognition system implementation comprising three M-files: HMM, DTW, and Record, featuring hidden Markov models, dynamic time warping algorithms, and voice recording capabilities.
Endpoint Detection and Isolated Word Recognition Using DTW and HMM with Continuous Speech Recognition
Endpoint Detection and Isolated Word Recognition Based on DTW and HMM for Continuous Speech Recognition Systems