Speech Recognition using Back-Propagation Neural Networks

Abstract

Back-propagation neural networks are used for speaker-dependent speech recognition of isolated words. The speech is digitized and its features are extracted by using Fast Fourier Transforms. Then Linear Frequency Cepstrum coefficients were calculated. The entire system of speech recognition using a back-propagation neural network was successfully implemented on a personal computer (80x86 microprocessor based) for words "one" through "five" with an overall accuracy rate of 89%.