RT Journal Article
SR Electronic
A1 Jurecka, Matus
T1 Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition
JF Communications - Scientific Letters of the University of Zilina
YR 2006
VO 8
IS 3
SP 33
OP 36
DO 10.26552/com.C.2006.3.33-36
UL https://komunikacie.uniza.sk/artkey/csl-200603-0008.php
AB 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.