https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/ 2026-05-12T21:33:46+00:00 https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/ https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/_media/wiki:dokuwiki-128.png text/html 2012-09-17T17:47:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/assignment?rev=1347904052&do=diff * [Assignment] (due Oct 10 in class) text/html 2012-08-30T18:58:29+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/contact?rev=1346353109&do=diff Contact Course Director * Hui Jiang * Office: CSE 3014 (Computer Science and Engineering Building) * Phone: (416) 736-2100 x. 33346 * Email: hj AT cse DOT yorku DOT ca You may contact the course director by e-mail at any time. Office Hours You may visit the Course Director during the following regularly scheduled office hours: text/html 2012-08-30T18:50:54+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/course_outline?rev=1346352654&do=diff Course Outline The course outline is a guideline to topics that will be discussed in the course, and when they will be discussed: Week 1 Introduction: application background; a big picture; speech sounds; spoken language (reading assignment) Week 2 text/html 2007-08-01T14:34:50+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/faq?rev=1185978890&do=diff Frequently Asked Questions Here, you can list frequently asked questions from your students along with responses. General Do I need to register for a CSE Computer Account? Yes. Do I need to attend class? If you wish to pass. Tests Do I need to write all tests? text/html 2007-08-02T17:22:57+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/forums?rev=1186075377&do=diff Forums This page acts as a future placeholder for a link to a forum system. text/html 2012-08-30T18:56:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/grades?rev=1346352968&do=diff Grades The weight distribution of the course components is as follows: * 10% - Assignment: basic concepts, principles, algorithms * 10% - Class participation * 50% - Two lab projects: project one (20%) and project two (30%). * 30% - Assigned article reading and class presentation text/html 2012-10-03T18:20:39+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/important_dates?rev=1349288439&do=diff Important Dates Here, you would list important dates for your course. * Oct 10 - Assignment due * Oct 29 - midterm presentation * Nov 7 - Project one due text/html 2012-11-19T16:00:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/lecture_notes?rev=1353340810&do=diff * [Week 1]: background introduction; speech and spoken language (Weekly Reading: W1) * [Week 2]: Math foundation: probabilities; Bayes theorem; statistics; Entropy; mutual information; decision tree; optimization (Weekly Reading: W2) (A useful online manual on Matrix Calculus) text/html 2007-07-31T18:55:53+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/policies?rev=1185908153&do=diff Policies Here, you can list specific course policies. Academic Dishonesty For more information on Academic Dishonesty, click here. text/html 2012-11-28T16:28:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/presentations?rev=1354120128&do=diff 1. Midterm Presentation (Please select your topic from the following list) * Convex Optimization: [paper1] * Graphical Models: [paper2] * Deep Neural Networks: [paper3] (by Hong) * Feature Dimensionality Reduction: [paper4] (by Boze) * Conditional Random Field: [paper5] and text/html 2012-11-05T19:20:37+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/projects?rev=1352143237&do=diff * [Project one]: with [Train.dat] and [Test.dat] (due in class on Nov 7) * Project Two (due on Dec 7) text/html 2007-07-31T18:59:29+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/resources?rev=1185908369&do=diff Resources Use this page to list additional Resources that may be helpful to your students. * Department of CSE Home Page * York Exam Schedule text/html 2024-03-08T13:45:41+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/sidebar?rev=1709905541&do=diff * What's New * Course Outline * Lecture Notes * Important Dates * Assignment * Presentation * Projects * Grades * Textbook * Contact text/html 2012-09-01T03:16:13+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/start?rev=1346469373&do=diff CSE 6328 Speech and Language Processing (Fall 2012) Description The course introduces some basic statistical modeling methods in pattern recognition and machine learning and their applications to speech and language processing. The covered topics may include: text/html 2012-08-30T18:57:15+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/textbook?rev=1346353035&do=diff Textbook There is no required textbook for this course. Four optional reference books: * C. M. Bishop, Pattern Recognition and Machine Learning, Springer, ISBN 0-387-31073-8. * X.D. Huang, A. Acero, H.W. Hon, Spoken Language Processing: a guide to theory, algorithm, and system development, Prentice Hall PTR, ISBN 0-13-022616-5. text/html 2012-11-21T18:34:54+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/whats_new?rev=1353522894&do=diff What's New? Refresh your page!!! * Nov 21: WFST slides are posted [here]. * Nov 19: Lecture notes for week ten has been posted at lecture_notes. * Nov 12: My reference codes for project 1: [Q1.c], [Q2.c] and [Q3.c]. The course evaluation for this class has been scheduled at 12:30pm on Nov 19 (Mon).