The BBN Byblos 1997 large vocabulary conversational speech recognition system
George Zavaliagkos, J. McDonough, David R. H. Miller, A. El-Jaroudi, Jayadev Billa, Frederico Leite Richardson, Kaixin Ma, Man-Hung Siu, H. Gish · 2002
This paper presents the 1997 BBN Byblos large vocabulary speech recognition (LVCSR) system. We give an outline of the algorithms and procedures used to train the system, describe the recognizer configuration and present the major technological innovations that lead to the performance improvements. The major testbed we present our results for is the Switchboard corpus, where current word error rates vary from 27% to 34% depending on the test set. In addition, we present results on the CallHome Spanish and Arabic tests, where we demonstrate that technology developed on English corpora is very much portable to other problems and languages.