Parallel system design for time-delay neural networks

Dapeng Zhang; Sankar K. Pal

doi:10.1109/5326.868447

Parallel system design for time-delay neural networks

Dapeng Zhang, Sankar K. Pal

Research output: Journal article publication › Journal article › Academic research › peer-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 language	English
Pages (from-to)	265-275
Number of pages	11
Journal	IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
Volume	30
Issue number	2
DOIs	https://doi.org/10.1109/5326.868447
Publication status	Published - 1 Jan 2000

ASJC Scopus subject areas

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

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10.1109/5326.868447

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Parallel system design for time-delay neural networks

Abstract

ASJC Scopus subject areas

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