Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition

  • Matus Jurecka
Keywords: no keywords

Abstract

This article presents achieved results concerning an feature extraction in isolated speech recognition problem using the Pulse-Coupled Neural Network (PCNN) approach. PCNN based feature extraction is analyzed for a direct Pulse Coded Modulation (PCM) input and a Fast Fourier Transform (FFT) coefficients input.

Author Biography

Matus Jurecka

Department of Technical Cybernetics, Faculty of Management Science and Informatics, University of Zilina, Slovakia

Published
2006-09-30
How to Cite
Jurecka, M. (2006). Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition. Communications - Scientific Letters of the University of Zilina, 8(3), 33-36. Retrieved from http://journals.uniza.sk/index.php/communications/article/view/1203
Issue
Vol 8 No 3 (2006)
Section
Articles