Yonghong Yan Xintian Wu Johan Schalkwyk Ron Cole

This paper presents the CSLU Broadcast News transcription system used in the DARPA 1997 evaluation. The system was built using the softwares developed for the CSLU LVCSR project started in January 1997. This 25K-word vocabulary system used continuous HMMs for acoustic modeling and the standard backoff trigram as the language model. The search used a single pass decoder with MLLR based adaptation technique. Although on the standard DARPA 20k WSJ task our system obtained 11.6% word error, the 39% error on this year's evaluation suggests there are still many aspects need to be learned for a new comer like us. 1. Introduction This paper presents the CSLU Broadcast News transcription system used in the DARPA 1997 evaluation. The system was built using software developed for the CSLU LVCSR project, initiated in January 1997. The project proceeded through development and evaluation of systems associated with previous DARPA tasks; specifically the RM system, and the WSJ-5k and WSJ-20k system..

Development Of Cslu Lvcsr: The 1997 Darpa Hub4 Evaluation System

This paper presents the CSLU Broadcast News transcription system used in the DARPA 1997 evaluation. The system was built using the softwares developed for the CSLU LVCSR project started in January 1997. This 25K-word vocabulary system used continuous HMMs for acoustic modeling and the standard backoff trigram as the language model. The search used a single pass decoder with MLLR based adaptation technique. Although on the standard DARPA 20k WSJ task our system obtained 11.6% word error, the 39% error on this year's evaluation suggests there are still many aspects need to be learned for a new comer like us. 1. Introduction This paper presents the CSLU Broadcast News transcription system used in the DARPA 1997 evaluation. The system was built using software developed for the CSLU LVCSR project, initiated in January 1997. The project proceeded through development and evaluation of systems associated with previous DARPA tasks; specifically the RM system, and the WSJ-5k and WSJ-20k system..