Introduction to spoken language technology with an
emphasis on dialogue and conversational systems. Automatic speech
recognition, speech synthesis, dialogue management, and applications
to digital assistants, search, and spoken language understanding
systems. Covers state-of-the-art approaches based on deep learning as
well as traditional methods.
Through lectures, programming assignments, and a course
project students will learn the concepts and application
details to build modern systems for spoken language processing.
Can I take this course on credit/no credit basis?
Yes. Credit will be given to those who would have otherwise earned a C- or above.
Can I audit or sit in?
In general we are very open to sitting-in guests if you are a member of the Stanford community (registered student, staff, and/or faculty). Out of courtesy, we would appreciate that you first email us or talk to the instructor after the first class you attend.
Can I work in groups for the Final Project?
Final projects should be done in groups of three people unless special permission is granted by the teaching staff.
I have a question about the class. What is the best way to reach the course staff?
Stanford students please use an internal class forum on
Piazza so that other students may benefit from your questions and our
answers. If you have a personal matter, email us at the class mailing