Speech recognition with artificial neural networks

被引：54

作者：

Dede, Guelin ^{[1
]}

Sazli, Murat Huesnue ^{[1
]}

机构：

[1] Ankara Univ, Fac Engn, Dept Elect Engn, TR-06100 Ankara, Turkey

来源：

DIGITAL SIGNAL PROCESSING | 2010年 / 20卷 / 03期

关键词：

Neural networks; Speech recognition; Human-computer interaction;

D O I：

10.1016/j.dsp.2009.10.004

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：763 / 768

页数：6

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