| Description: |
Speech Processing offers a practical and theoretical understanding of
how human speech can be processed by computers. It covers speech
recognition, speech synthesis and spoken dialog systems. The course
involves practicals where the student will build working speech
recognition systems, build their own synthetic voice and build a
complete telephone spoken dialog system. This work will be based on
existing toolkits. Details of algorithms, techniques and limitations
of state of the art speech systems will also be presented.
This course is designed for students wishing understand how to process
real data for real applications, applying statistical and machine
learning techniques as well as working with limitations in the
technology.
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| Instructor(s): |
Alan W Black
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| Teaching Assistant: |
Nguyen Bach |
| Prerequisites: |
15-211 for SCS undergraduates, exemption from this requirement requires the instructor's permission. |
| Availability: |
Open to juniors and seniors in the SCS undergraduate program and ECE Undergraduate program. Open to other students with the consent of an instructor.
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| Materials: |
The text required for the course will be
"Spoken Language Processing" by
Xuedong Huang, Alex Acero and Hsiao-wuen Hon, Prentice Hall
(ISBN 0-13-22616-5). This book will be used for reading assignments, and
background reading for homeworks and exams.
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| Homework: |
Homework consists of two components:
occasional Weekly brief reading assignments
and four programming projects (Speech Recognition, Speech Synthesis, Spoken Dialog Systems, and one other).
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| Grading: |
10% class participation, 60% programming projects,
10% readings homework, 20% final.
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| Course policies: |
Late homework ,
Cheating
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| Time: | MWF 3:30-4:20 |
| Location: | DH 1117 |
| Final exam: | TBA
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| Syllabus:
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