Parallel system design for time-delay neural networks

Dapeng Zhang, Sankar K. Pal

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

In this paper, we develop a parallel structure for the time-delay neural network used in some speech recognition applications. The effectiveness of the design is illustrated by 1) extracting a window computing model from the time-delay neural systems; 2) building its pipelined architecture with parallel or serial processing stages; and 3) applying this parallel window computing to some typical speech recognition systems. An analysis of the complexity of the proposed design shows a greatly reduced complexity while maintaining a high throughput rate.
Original languageEnglish
Pages (from-to)265-275
Number of pages11
JournalIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
Volume30
Issue number2
DOIs
Publication statusPublished - 1 Jan 2000

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this