Integrated System Approach for the Automatic Speech Recognition using Linear predict Coding and Neural Networks

In the present article we presented an automatic speech recognition approach to identify initially four voice words using the energy of the signal through of LPC (linear predict coding) and finally neural networks as recognition and classification techniques of speech parameters. The identification of speech command was obtained with a back propagation multilayer perceptron (MLP). The characteristics of the voice parameters in the time domain were processed, and the neural network was trained to classify and identify the speech commands. The implementation of this system has been test in one Development Starter Kit (DSK), Digital Signal Processing Card of 1 GHz, with reference TMS320C6416T of Texas Instruments, utilized in this application.