Speaker Recognition System Implementation
This MATLAB-based code implements speaker recognition using Vector Quantization (VQ) algorithm for voice pattern analysis and identification.
Explore MATLAB source code curated for "VQ" with clean implementations, documentation, and examples.
This MATLAB-based code implements speaker recognition using Vector Quantization (VQ) algorithm for voice pattern analysis and identification.
Linde, Buzo, and Gray (LBG) introduced a vector quantization design algorithm using a training sequence, eliminating the need for complex multi-dimensional integration. The LBG algorithm operates iteratively, processing extensive vector sets—typically through clustering techniques like k-means—in each cycle to optimize codebook generation.
Automated speech signal recognition featuring MATLAB GUI interface with implementation of three core algorithms: Dynamic Time Warping (DTW), Vector Quantization (VQ), and Hidden Markov Models (HMM)