|Department of Engineering|
|University of Cambridge > Engineering Department > Machine Intelligence Lab|
A REAL-TIME RECURRENT ERROR PROPAGATION NETWORK WORD RECOGNITION SYSTEM
This paper presents 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. The connectionist model employs internal feedback for context modelling 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 modelling, both of which are reported in the paper.
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2005 Cambridge University Engineering Dept
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