Lattice segmentation and minimum Bayes-risk discriminative training

@misc{citeulike:1238396, abstract = {Modeling approaches are presented that incorporate discriminative training procedures in segmental Minimum Bayes-Risk decoding (SMBR). SMBR is used to segment lattices produced by a general automatic speech recognition (ASR) system into sequences of separate decision problems involving small sets of confusable words. We discuss two approaches to incorporating these segmented lattices in discriminative training. We investigate the use of acoustic models specialized to discriminate between the...}, author = {Doumpiotis, V. and Tsakalidis, S. and Byrne, W. }, citeulike-article-id = {1238396}, keywords = {discriminative, lattiace, segmentation}, posted-at = {2007-04-20 09:55:37}, priority = {2}, title = {Lattice segmentation and minimum Bayes-risk discriminative training}, url = {http://citeseer.ist.psu.edu/606644.html}, year = {2003} }

TY - GEN ID - citeulike:1238396 L3 - citeulike-article-id:1238396 N2 - Modeling approaches are presented that incorporate discriminative training procedures in segmental Minimum Bayes-Risk decoding (SMBR). SMBR is used to segment lattices produced by a general automatic speech recognition (ASR) system into sequences of separate decision problems involving small sets of confusable words. We discuss two approaches to incorporating these segmented lattices in discriminative training. We investigate the use of acoustic models specialized to discriminate between the... TI - Lattice segmentation and minimum Bayes-risk discriminative training KW - discriminative KW - lattiace KW - segmentation AU - Doumpiotis, V AU - Tsakalidis, S AU - Byrne, W PY - 2003/// UR - http://citeseer.ist.psu.edu/606644.html ER -