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A class of data-flow architectures for speech recognition

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1 Author(s)
Bisiani, R. ; Carnegie-Mellon University, Pittsburgh, PA

The behavior of many speech recognition systems, and of some Artificial Intelligence programs, can he modeled as a data driven computation in which the "instructions" are complex but inexpensive operations (e.g. the evaluation of the likelihood of a partial sentence hypothesis), and the "data-flow graph" is derived directly from the knowledge representation (e.g. the phoneme-level network in a Harpy system). The architecture of a machine that exploits this characteristic is presented together with the results of the simulation of one possible implementation.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.  (Volume:8 )

Date of Conference:

Apr 1983

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