A real-time recurrent error propagation network word recognition system

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