Spoken Language Processing (CS 4706), Spring 2008 |
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Time: |
MW |
Place |
Mudd 1127 |
Professor: |
Office Hours: |
M 4-6 |
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Email: |
julia [at] cs.columbia.edu |
Phone: |
212-939-7114 |
Teaching Assistant: |
Office Hours: |
W 12-2 |
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Email: |
fadi [at] cs.columbia.edu |
Phone: |
212-939-7111/7147 |
Announcements
|| Academic Integrity || Description
Resources
|| Requirements
|| Syllabus
|| Readings
This course introduces students to research in spoken language in computational linguistics, aka natural language processing (NLP). We will study the different `meanings' that can be conveyed by the way that speakers produce sentences, techniques for analyzing spoken language, methods of developing speech technologies, and applications of such technologies in the real world, such as text-to-speech systems, speech recognizers, spoken dialogue systems, and detectors for various types of emotional speech. NB: This course can be counted as a PhD elective in Advanced AI . It is a requirement for the MS NLP Track. There are no official prerequisites for this course except Data Structures or equivalent, and no prior knowledge of NLP will be assumed.
Required readings: Chapters from the second edition of Speech and Language
Processing by Jurafsky and Martin available in
draft form as a reader from the Village Copier on
Midterm and final; N lab homeworks. The Speech Lab is available for use in homeworks on a signup basis.
Grading:
60% Homeworks
20% Midterm Exam
20% Final Exam
Late policy:
Each student starts the semester with 5 late days. Students use up late
days when they turn in homework anytime after the due date and time. For
example, if homework is due at
Late days can be used for all homeworks.
(Note: Weekdays and weekends all count equally in the late day
calculation.)
Copying or paraphrasing someone's work (code included), or permitting your own work to be copied or paraphrased, even if only in part, is not allowed, and will result in an automatic grade of 0 for the entire assignment or exam in which the copying or paraphrasing was done. Your grade should reflect your own work. If you believe you are going to have trouble completing an assignment, please talk to the professor in advance of the due date.
Help using ToBI - ToBI Annotation
Environments
Text-to-Speech Links and more...
Week |
Date |
Topic |
Readings and Assignments |
Reports and HW |
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Jan 23 |
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Jan 28 |
J&M 7.1-7.3 |
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Jan 30 |
J&M 7.4; *Johnson, Ch. 1-2 |
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Feb 4 |
Praat tutorial 1 Praat tutorial 2 (some good contours:1, 2) |
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Feb 6 |
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Feb 11 |
J&M 8.3.0-8.3.4 |
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Feb 13 |
ToBI labeling conventions; Pierrehumbert&Hirschberg90 Listen to the ToBI examples |
HW1 due |
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Feb 18 |
Tobi Labeling (continued) |
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Feb 20 |
J&M 8 (all); TTS-history |
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Feb 25 |
J&M 8.1 |
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Feb 27 |
J&M 8.3.4-8.3.7; Pan99, *Sun02, Rosenberg07 |
Guest Speaker: Andrew
Rosenberg |
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Mar 3 |
J&M 8.2; Fackrell&Skut04 |
HW2 due |
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Mar 5 |
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Mar 10 |
J&M 9 (all) |
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Mar 12 |
Speech Recognition and Understanding (continue) |
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Mar 17-24 |
Spring Break |
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Mar 24 |
J&M 10.6; Hindle83;Nakatani&Hirschberg94;Bear92; |
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Mar 26 |
J&M 10.6; Shriberg00, Choi00, *Utiyama01, |
HW3 due; HW4: TTS-oncampus,
TTS-cvn (assigned) |
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Mar 31 |
J&M 24; Walkeretal97, *Bell&Gustafson00 |
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Apr 2 |
J&M 24.1.2; 24.5.1-2 *Jurafsky98, Rosset&Lamel04, Nickerson&Chu-Carroll99 |
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Apr 7 |
J&M 24.5.3 Hirschbergetal04, Goldberg03, Krahmer01 |
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Apr 9 |
TBA |
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Apr 14 |
HW4 due; HW5: ASR
(assigned) |
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Apr 16 |
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Apr 21 |
Cowie00, *Pereira00, Schroeder01, *Bosch00, Burkhardt00, Ang02,*Gobl&Chasaide03 |
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Apr 28 |
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Apr 30 |
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May 5 |
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HW5 due |
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May 6-8 |
Study Days |
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TBA (May 9-16) |
Final Exam |
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Covers the entire course |
Announcements
|| Academic Integrity || Description
Resources
|| Requirements
|| Syllabus
|| Readings || Thanks