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Levinson, Stephen E. Zhang, Tong 2015-09-25T20:08:43Z 2015-09-25T20:08:43Z 10000-01-01 2004 2004 Moreover, this study tries to acknowledge the role of speech in SLU. The existing semantic analysis of speech is usually achieved through text transcription. However, human interpretation of speech and text is via different channels. We admit the role of text in semantic analysis, but we also investigate how to use the speech characteristics to semantically analyze the content meaning of speech signals. Made available in DSpace on 2015-09-25T20:08:43Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3160978.pdf: 13131046 bytes, checksum: 1fba6e32d3b8ef4009fd3ce2aaa9e7dd (MD5) Previous issue date: 2004 Embargo set by: Seth Robbins for item 82181 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 126 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004. http://hdl.handle.net/2142/80899 (MiAaPQ)AAI3160978 eng Artificial Intelligence Spoken Language Understanding in an Intelligent Tutoring Scenario text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.