Broadcast News Transcription Using HTK

@inproceedings{Woodland97, abstract = {This paper examines the issues in extending a large vocabulary speech recognition system designed for clean and noisy read speech tasks to handle broadcast news transcription. Results using the 1995 DARPA H4 evaluation data set are presented for different front-end analyses and use of unsupervised model adaptation using maximum likelihood linear regression (MLLR). The HTK system for the 1996 H4 evaluation is then described. It includes a number of new features over previous HTK large vocabulary ...}, address = {Munich, Germany}, author = {Woodland, P. C. and Gales, M. J. and Pye, D. and Young, S. J. }, booktitle = {Proc. ICASSP '97}, citeulike-article-id = {1273716}, keywords = {broadcast-news-transcription}, pages = {719--722}, posted-at = {2007-05-03 12:54:17}, priority = {2}, title = {Broadcast News Transcription Using HTK}, url = {http://citeseer.ist.psu.edu/woodland97broadcast.html}, year = {1997} }

TY - CONF ID - Woodland97 L3 - citeulike-article-id:1273716 TI - Broadcast News Transcription Using HTK T2 - Proc. ICASSP '97 SP - 719 EP - 722 AD - Munich, Germany N2 - This paper examines the issues in extending a large vocabulary speech recognition system designed for clean and noisy read speech tasks to handle broadcast news transcription. Results using the 1995 DARPA H4 evaluation data set are presented for different front-end analyses and use of unsupervised model adaptation using maximum likelihood linear regression (MLLR). The HTK system for the 1996 H4 evaluation is then described. It includes a number of new features over previous HTK large vocabulary ... KW - broadcast-news-transcription AU - Woodland, PC AU - Gales, MJ AU - Pye, D AU - Young, SJ PY - 1997/// UR - http://citeseer.ist.psu.edu/woodland97broadcast.html ER -