Speaker Recognition System with User-Friendly Interface
Speaker Recognition System with User-Friendly Interface Featuring Real-Time Audio Processing and Voiceprint Analysis Capabilities
Implementation of Vector Quantization-Based Speaker Recognition System
Development of a text-independent speaker recognition system using vector quantization (VQ) in MATLAB environment. This system enables real-time identification of speakers from 1-7 second voice recordings through live audio capture. The implementation includes feature extraction using MFCC (Mel-frequency cepstral coefficients), codebook generation via LBG (Linde-Buzo-Gray) algorithm, and pattern matching through distortion measurement. Usage instructions: 1) Launch MATLAB and set Current Directory to VQ folder path (e.g., E:\vq) 2) Execute training commands in Command Window to create speaker models 3) Perform real-time recognition through audio input interface.
Speaker Recognition System with Real-Time Audio Processing Capabilities
A user-friendly speaker recognition system capable of real-time speaker identification from live audio recordings, featuring advanced signal processing algorithms and machine learning models for accurate voice pattern analysis.
Implementation of Vector Quantization-Based Speaker Recognition System in MATLAB Environment
Implementation of a speaker recognition system using vector quantization in MATLAB environment for real-time identification of 1-second to 7-second speech samples from different speakers, enabling text-independent automatic speaker verification with detailed code implementation procedures and algorithm descriptions.
Speaker Recognition System
Speaker Recognition System % Extract all files in the current MATLAB directory, then type "speakerrecognition" % in the MATLAB command window. A simple and intuitive graphical user interface will appear. % % GUI Functionalities: % % ONE-TO-ONE Speaker Recognition - Verification % Select two audio files. The system will determine whether the voice characteristics belong % to the same person or not (one-to-one speaker recognition, also known as verification). % Audio inputs can be loaded from disk or recorded using a microphone. % % ADD A NEW SOUND TO DATABASE % Select an audio file to add to the database with a unique positive integer ID for speaker association.
GMM-Based Speaker Recognition System
GMM-based speaker recognition system achieving over 90% identification accuracy with optimized feature extraction and model training
MATLAB-Based Speaker Recognition System Implementing Gaussian Mixture Models (GMM)
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.