Speech recognition with artificial neural networks

Authors:
Gülin Dede;Murat Hüsnü Sazlı
Affiliations:
Ankara University, Faculty of Engineering, Electronics Engineering Department, Tandogan 06100, Ankara, Turkey;Ankara University, Faculty of Engineering, Electronics Engineering Department, Tandogan 06100, Ankara, Turkey
Venue:
Digital Signal Processing
Year:
2010

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Abstract

In this paper, artificial neural networks were used to accomplish isolated speech recognition. The topic was investigated in two steps, consisting of the pre-processing part with Digital Signal Processing (DSP) techniques and the post-processing part with Artificial Neural Networks (ANN). These two parts were briefly explained and speech recognizers using different ANN architectures were implemented on Matlab. Three different neural network models; multi layer back propagation, Elman and probabilistic neural networks were designed. Performance comparisons with similar studies found in the related literature indicated that our proposed ANN structures yield satisfactory results.