New developments in the Lincoln stack-decoder based large-vocabulary CSR system
D.B. Paul · 2002
The system described here is a large-vocabulary continuous-speech recognition (CSR) system developed using the ARPA Wall Street Journal (WSJ) and North American Business (NAB) databases. The recognizer uses a stack decoder-based search strategy, with a left-to-right stochastic language model. This decoder has been shown to function effectively on 56 K-word recognition of continuous speech. It operates left-to-right and can produce final textual output while continuing to accept additional input. The recognizer also features recognition-time adaptation to the user's voice. The new system showed a 48% reduction in the word error rate over the previously reported Nov. 92 system.