Non-linear Prediction of Speech Signal Using Artificial Neural Nets

  • Authors:
  • K. Ashouri;M. Amini;M. H. Savoji

  • Affiliations:
  • -;-;-

  • Venue:
  • EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

Speech technology is one of the key technical issues involved in Information Technology as it constitutes an important aspect of Human Computer Interaction. Prediction of speech signal has applications in speech technology, especially in coding. Conventionally, linear prediction is used. However, non-linear phenomena exist in speech production and, considering this non-linearity should lead to lower signal dynamics during coding with a consequent reduction in bit-rate and the needed bandwidth. The non-linear prediction of speech segments, as long as a whole vowel, using neural nets is studied in this paper. It is shown that non-linear speech prediction does not lead to an appreciable further reduction in the residual signal in this case.