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.