A real-time recurrent error propagation network word recognition system
- 1 January 1992
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 617-620 vol.1
- https://doi.org/10.1109/icassp.1992.225833
Abstract
A hybrid system using a connectionist model and a Markov model for the DARPA Resource Management task of large-vocabulary multiple-speaker continuous speech recognition is presented. The connectionist model uses internal feedback for context modeling and provides phone state occupancy probabilities for a simple context independent Markov model. The system has been implemented in real-time on a workstation supported by a DSP board. The use of context-independent phone models leads to the possibility of time-domain pruning and computationally efficient durational modeling, both of which are reported.Keywords
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