A robust automated speech classification using hybrid wavelet-based architecture

  • S.M. Youssef
  • Published 2008 in 2008 National Radio Science Conference

Abstract

In this paper, an efficient feature extraction approach, based on wavelet packet entropy, is proposed and used for intelligent automated speech recognition systems. A new architecture is introduced based on the integration between the wavelet packet transform and the neural network classifier model to effectively extract the features from pre-processing… (More)

7 Figures and Tables

Cite this paper

@article{Youssef2008ARA, title={A robust automated speech classification using hybrid wavelet-based architecture}, author={S. M. Youssef}, journal={2008 National Radio Science Conference}, year={2008}, pages={1-8} }