MATLAB Code Implementation for Speaker Recognition
Comprehensive MATLAB code for speaker recognition using signal processing and pattern recognition techniques
Speaker Recognition System Implementation
This MATLAB-based code implements speaker recognition using Vector Quantization (VQ) algorithm for voice pattern analysis and identification.
Speaker Recognition Source Code Implementation
This is a comprehensive source code for speaker recognition systems, providing practical implementation examples for speech processing applications
Speaker Recognition and Verification System
A MATLAB-based speaker recognition and verification system implementing voiceprint identification algorithms, providing valuable reference code for studying biometric voice recognition technologies.
UBM Model MAP Algorithm Process for Speaker Recognition
Detailed explanation of the UBM model MAP algorithm process with code implementation insights for speaker recognition systems
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.
Speaker Recognition and Training System with Comprehensive Source Code
This speaker recognition and training system provides extensive source code covering complete implementation details, including signal processing workflows and machine learning algorithms for voice pattern analysis.
MATLAB Implementation of Speaker Recognition with Multiple Algorithms
A MATLAB-based speaker recognition program utilizing BP, PNN, SOM, RBF, and LVQ algorithms for speech file training and testing, demonstrating effective performance. The implementation includes data partitioning for training and testing phases, with the bprengong program featuring MFCC vector processing, length normalization through truncation, and neural network architecture with 15 output neurons.
MATLAB Implementation for Speaker Recognition System with 90% Accuracy
A speaker recognition program designed to identify 10 distinct speakers with 90% recognition accuracy. Execute "laststep.m" to run the complete system, which incorporates feature extraction and pattern matching algorithms.
Speaker Recognition using Vector Quantization (VQ) Method with MATLAB Implementation
MATLAB code for speaker recognition employing Vector Quantization technique, designed for beginners new to vector quantization concepts