@inproceedings{alleva1992applying,
author = {Alleva, Fil and Hon, Hsiao-Wuen and Huang, Xuedong and Hwang, Mei-Yuh and Rosenfeld, R. and Weide, Robert},
title = {Applying SPHINX-II to the DARPA Wall Street Journal CSR task},
booktitle = {HLT '91 Proceedings of the workshop on Speech and Natural Language},
year = {1992},
month = {February},
abstract = {This paper reports recent efforts to apply the speaker-independent SPHINX-II system to the DARPA Wall Street Journal continuous speech recognition task. In SPHINX-II, we incorporated additional dynamic and speaker-normalized features, replaced discrete models with sex-dependent semi-continuous hidden Markov models, augmented within-word triphones with between-word triphones, and extended generalized triphone models to shared-distribution models. The configuration of SPHINX-II being used for this task includes sex-dependent, semi-continuous, shared-distribution hidden Markov models and left context dependent between-word triphones. In applying our technology to this task we addressed issues that were not previously of concern owing to the (relatively) small size of the Resource Management task.},
url = {http://approjects.co.za/?big=en-us/research/publication/applying-sphinx-ii-darpa-wall-street-journal-csr-task/},
pages = {393-398},
edition = {HLT '91 Proceedings of the workshop on Speech and Natural Language},
}