Recognition of speaking in a phone channel with a neural network backpropagation

Luis A. Cruz-Beltrán, Marco Antonio Acevedo-Mosqueda, Jose Luis López-Bonilla

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper we propose an algorithm for identification of speaking in the phone channel. The investigation is based on the behavior of the Artificial Neural Network (ANN) Backpropagation. The analysed voice is captured with format *.wav. We introduce the procedure for the speaking identification in the phone channel which offered the best results in several tests that we carry out with our method.

Original languageEnglish
Pages (from-to)17-22
Number of pages6
JournalInternational Journal for Engineering Modelling
Volume20
Issue number1-4
StatePublished - 2007

Keywords

  • Artificial neural networks
  • Backpropagation
  • CLP
  • Wav
  • Wavelets

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