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University of Illinois at Urbana-Champaign

Spoken Language Understanding in an Intelligent Tutoring Scenario

Abstract

dc:description

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.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhang, Tong
Contributors dc:contributor
  • Levinson, Stephen E.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3160978
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/80899

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Zhang, Tong. Spoken Language Understanding in an Intelligent Tutoring Scenario. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/80899