Analysis and Design of Speech-Recognition Grammars.
Degree: PhD, Computer
Science, 2010, National Library of Canada
Currently, most commercial speech-enabled
products are constructed using grammar-based technology. Grammar
design is a critical issue for good recognition accuracy. Two
methods are commonly used for creating grammars: 1) to generate
them automatically from a large corpus of input data which is very
costly to acquire, or 2) to construct them using an iterative
process involving manual design, followed by testing with end-user
speech input. This is a time-consuming and very expensive process
requiring expert knowledge of language design, as well as the
application area. Another hurdle to the creation and use of
speech-enabled applications is that expertise is also required to
integrate the speech capability with the application code and to
deploy the application for wide-scale use. An alternative approach,
which we propose, is 1) to construct them using the iterative
process described above, but to replace end-user testing by
analysis of the recognition grammars using a set of grammar metrics
which have been shown to be good indicators of recognition
accuracy, 2) to improve recognition accuracy in the design process
by encoding semantic constraints in the syntax rules of the
grammar, 3) to augment the above process by generating recognition
grammars automatically from specifications of the application, and
4) to use tools for creating speech-enabled applications together
with an architecture for their deployment which enables expert
users, as well as users who do not have expertise in language
processing, to easily build speech applications and add them to the
Advisors/Committee Members: Richard A. Frost (Computer Science).
Subjects/Keywords: Artificial Intelligence.
to Zotero / EndNote / Reference
APA (6th Edition):
Shi, Y. (2010). Analysis and Design of Speech-Recognition Grammars. (Doctoral Dissertation). National Library of Canada. Retrieved from http://scholar.uwindsor.ca/etd/417
Chicago Manual of Style (16th Edition):
Shi, Yue. “Analysis and Design of Speech-Recognition Grammars.” 2010. Doctoral Dissertation, National Library of Canada. Accessed December 04, 2020.
MLA Handbook (7th Edition):
Shi, Yue. “Analysis and Design of Speech-Recognition Grammars.” 2010. Web. 04 Dec 2020.
Shi Y. Analysis and Design of Speech-Recognition Grammars. [Internet] [Doctoral dissertation]. National Library of Canada; 2010. [cited 2020 Dec 04].
Available from: http://scholar.uwindsor.ca/etd/417.
Council of Science Editors:
Shi Y. Analysis and Design of Speech-Recognition Grammars. [Doctoral Dissertation]. National Library of Canada; 2010. Available from: http://scholar.uwindsor.ca/etd/417