11-754: Self-Paced Lab: Dialogue Systems
Department: Language Technologies Institute (LTI)
Units: 6
Semester: Fall and Spring
Instructors: Alex
Rudnicky, Alan W Black
Prerequisite: Speech Recognition (11-751) or permission of instructor
Course Description:
This course will teach participants how to implement a complete spoken
language system while providing opportunities to explore research topics of
interest in the context of a functioning system. The course will produce a
complete implementation of a system to access and manipulate email through
voice only, for example to allow users to interact with the mail system
over a telephone while away from their computer. In doing so the class will
address the component activities of spoken language system building. These
include, but are not limited to, task analysis and language design,
application-specific acoustic and language modeling, grammar design, task
design, dialog management, language generation and synthesis. The course
will place particular emphasis on issues in task design and dialog
management and on issues in language generation and synthesis.
For Fall, we will implement a simple telephone-based information access
application. The domain is bus schedules (see
http://www.speech.cs.cmu.edu/BusLine for a web-based interface to
this domain) and the goal will be to create one or more usable applications
that can provide a real service and can be deployed for actual use by
the University community. Participants will chose individual components
of the system to concentrate on and will collaborate to put together the
entire system. It is perfectly acceptable for several individuals to concentrate
on a single component, particularly if their work will exemplify alternative
approaches to the same problem.
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