A novel Arabic Speech Recognition Method using Neural Networks and Gaussian Filtering

Authors: Nidal M. Turab, Khalaf Khatatneh, Ashraf Odeh

Phoneme recognition is a very popular area of research, especially in the field of machine intelligence, as it adds a distinguish touch in technology world in many fields that provides many features, This paper discussed a phoneme recognition using neural network technique by using a strong algorithm in pre-processing stage to get good results. Moreover, it explained the stages of phoneme recognition, pre-processing procedures such as getting a signal, sampling, quantization, determine an energy then using neural network to get a good results and enhancements. Gaussian Low Pass filtering was used to get enhanced results of voice signal and lowering the noisy; and then use neural network in a training stage to train a system to recognize the speech signal, this paper has benefited from some of the previous results for other researchers and entered good ideas to enhance Arabic voice recognition.

Neural networks, voice recognition, phoneme, wavelet, Gaussian filtering.

Volume 19, Issue 1, March 2014, pp. 865-869                    Download PDF


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