Spoken Language Processing
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Course Description
Introduction to spoken language technology with an emphasis on dialogue and conversational systems. Deep learning and other methods for automatic speech recognition, speech synthesis, affect detection, dialogue management, and applications to digital assistants and spoken language understanding systems. Prerequisites: CS124, CS221, CS224N, or CS229.
Cross Listed Courses
Grading Basis
ROP - Letter or Credit/No Credit
Min
2
Max
4
Course Repeatable for Degree Credit?
No
Course Component
Lecture
Enrollment Optional?
No
Programs
LINGUIST285
is a
completion requirement
for:
- (from the following course set: )