On Low-level Cognitive Components of Speech

  • Authors:

  • Ling Feng;Lars Kai Hansen

  • Affiliations:

  • Technical University of Denmark, Denmark;Technical University of Denmark, Denmark

  • Venue:
  • CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
  • Year:
  • 2005

  • Cogito componentiter ergo sum

    ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we analyze speech for low-level cognitive features using linear component analysis. We demonstrate generalizable component 'fingerprints' stemming from both phonemes and speakers. Phonemes are fingerprints found at the basic analysis window time scale (20 msec), while speaker 'voiceprints' are found at time scales around 1000 msec. The analysis is based on homomorphic filtering features and energy based sparsification.