{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,16]],"date-time":"2025-02-16T18:40:21Z","timestamp":1739731221622,"version":"3.37.1"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,12]]},"DOI":"10.1109\/asru.2009.5373362","type":"proceedings-article","created":{"date-parts":[[2010,1,13]],"date-time":"2010-01-13T20:40:58Z","timestamp":1263415258000},"page":"52-57","source":"Crossref","is-referenced-by-count":9,"title":["Investigations on features for log-linear acoustic models in continuous speech recognition"],"prefix":"10.1109","author":[{"given":"S.","family":"Wiesler","sequence":"first","affiliation":[]},{"given":"M.","family":"Nussbaum-Thom","sequence":"additional","affiliation":[]},{"given":"G.","family":"Heigold","sequence":"additional","affiliation":[]},{"given":"R.","family":"Schluter","sequence":"additional","affiliation":[]},{"given":"H.","family":"Ney","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"282","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","author":"lafferty","year":"2001","journal-title":"Proceedings of the Eighteenth International Conference on Machine Learning"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.21437\/Interspeech.2005-126","article-title":"Hidden conditional random fields for phone classification","author":"gunawardana","year":"2005","journal-title":"Proc INTERSPEECH"},{"key":"ref12","article-title":"Principles of mathematical analysis","author":"rudin","year":"1976","journal-title":"International Series in Pure and Applied Mathematics"},{"key":"ref13","first-page":"4521","article-title":"Minimum word classification error training of HMMs for automatic speech recognition","author":"yan","year":"2008","journal-title":"Proc IEEE Int Conf on Acoustics Speech and Signal Processing ICASSP"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"2133","DOI":"10.21437\/Interspeech.2005-693","article-title":"Investigations on error minimizing training criteria for discriminative training in automatic speech recognition","author":"macherey","year":"2005","journal-title":"Proc INTERSPEECH"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1993.298623"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390205"},{"key":"ref4","first-page":"750","article-title":"Context-dependent classes in a hybrid recurrent network-HMM speech recognition system","volume":"8","author":"kershaw","year":"1995","journal-title":"Advances in Neural Information Processing Systems INIPS"},{"key":"ref3","first-page":"105","article-title":"Minimum phone error and I-smoothing for improved discriminative training","author":"povey","year":"2002","journal-title":"Proc IEEE Int Conf on Acoustics Speech and Signal Processing ICASSP"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2008.2010286"},{"article-title":"Support vector machines for speech recognition","year":"2002","author":"ganapathisraju","key":"ref5"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2009-79","article-title":"Investigations on convex optimization using log-linear HMMs for digit string recognition","author":"heigold","year":"2009","journal-title":"Proc INTERSPEECH"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1109\/TSA.2005.858064","article-title":"Maximum entropy direct models for speech recognition","volume":"14","author":"kuo","year":"2006","journal-title":"IEEE Transactions on Audio Speech and Language Processing"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1986.1169179"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via the EM algorithm","volume":"39","author":"dempster","year":"1977","journal-title":"Journal of the Royal Statistical Society"},{"key":"ref9","first-page":"591","article-title":"Maximum entropy Markov models for information extraction and segmentation","author":"mccallum","year":"2000","journal-title":"Proc Seventh Int Conf Machine Learning"}],"event":{"name":"2009 IEEE Workshop on Automatic Speech Recognition &amp; Understanding (ASRU 2009)","start":{"date-parts":[[2009,11,13]]},"location":"Merano","end":{"date-parts":[[2009,12,17]]}},"container-title":["2009 IEEE Workshop on Automatic Speech Recognition &amp; Understanding"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/5357590\/5372876\/05373362.pdf?arnumber=5373362","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,16]],"date-time":"2025-02-16T18:16:02Z","timestamp":1739729762000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5373362\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,12]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/asru.2009.5373362","relation":{},"subject":[],"published":{"date-parts":[[2009,12]]}}}