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

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) coeffici...

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Bibliographic Details
Main Author: Matus Jurecka
Format: Article
Language:English
Published: University of Žilina 2006-09-01
Series:Communications
Subjects:
Online Access:https://komunikacie.uniza.sk/artkey/csl-200603-0008_feature-extraction-using-pulse-coupled-neural-network-in-isolated-speech-recognition.php