Speech Recognition Using Artificial Neural Networks

Speech recognition system based on artificial neural networks (ANN) that combines LPC parameters extracted from speech signals with neural network classification, implemented and optimized using MATLAB

Speech Recognition Using Artificial Neural Networks

This project implements speech recognition by combining LPC (Linear Predictive Coding) parameters extracted from audio signals with artificial neural networks for classification. The implementation demonstrates feature extraction techniques and neural network architecture suitable for speech pattern recognition.

Speaker Recognition Using Dynamic Time Warping (DTW) Method

A speaker recognition program based on the Dynamic Time Warping (DTW) algorithm that utilizes both Linear Predictive Cepstral Coefficients (LPCC) and Linear Predictive Coding (LPC) parameters for enhanced speaker identification, achieving improved recognition accuracy and performance.