Speech recognition with artificial neural networks

Dede G., SAZLI M. H.

DIGITAL SIGNAL PROCESSING, cilt.20, sa.3, ss.763-768, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 20 Sayı: 3
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1016/j.dsp.2009.10.004
  • Dergi Adı: DIGITAL SIGNAL PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.763-768
  • Anahtar Kelimeler: Neural networks, Speech recognition, Human-computer interaction
  • Ankara Üniversitesi Adresli: Evet

Özet

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.