Parallel system design for time-delay neural networks
David D. Zhang, Sankar Kumar Pal · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · 2000
The authors 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.