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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Webpage Understanding: an Integrated Approach Jun Zhu; Bo Zhang; Zaiqing Nie... In: http://research.microsoft.com/users/znie/SIGKDD2007_extraction.pdf (2007) BASE Show details 2 Description of acoustic variations by hidden Markov models with tree structure ... Hayamizu, Satoru; Lee, Kai-Fu; Hsiao-Wuen Hon. - : Carnegie Mellon University, 2007 BASE Show details 3 Description of acoustic variations by hidden Markov models with tree structure ... Hayamizu, Satoru; Lee, Kai-Fu; Hsiao-Wuen Hon. - : Carnegie Mellon University, 2007 BASE Show details 4 Tangerine: A Large Vocabulary Mandarin Dictation System Yuqing Gao; Hsiao-wuen Hon; Zhiwei Lin... In: http://knowledge.krdl.org.sg/papers/zip/ghl-95.pdf (1995) BASE Show details 5 The SPHINX-II Speech Recognition System: An Overview Xuedong Huang; Fileno Alleva; Hsiao-wuen Hon; Mei-yuh Hwang; Ronald Rosenfeld In: ftp://reports.adm.cs.cmu.edu/usr/anon/1992/CMU-CS-92-112.ps (1992) Abstract: In order for speech recognizers to deal with increased task perplexity, speaker variation, and environment variation, improved speech recognition is critical. Steady progress has been made along these three dimensions at Carnegie Mellon. In this paper, we review the SPHINX-II speech recognition system and summarize our recent efforts on improved speech recognition. This research was sponsored by the Defense Advanced Research Projects Agency and monitored by the Space and Naval Warfare Systems Command under Contract N00039-91-C-0158, ARPA Order No. 7239. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Government. Keywords: Speech recognition, hidden Markov models, SPHINX-II 1. INTRODUCTION At Carnegie Mellon, wehave made significant progress in large-vocabulary speaker-independent continuous speech recognition during the past years [1, 2, 3]. SP. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.1629 BASE Hide details 6 Recent progress in robust vocabulary-independent speech recognition Hsiao-wuen Hon; Kai. Fu Lee In: http://acl.ldc.upenn.edu/H/H91/H91-1050.pdf (1991) BASE Show details 7 Session 19: Multi-Lingual IR Cross-Lingual Query Suggestion Using Query Logs of Different Languages Wei Gao; Cheng Niu; Jian-yun Nie... In: http://www.iro.umontreal.ca/%7Enie/Publication/gao-sigir-07.pdf BASE Show details

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