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Automatic Speech Recognition >> Content Detail


Table of Contents



Lecture Notes



Lecture Notes

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This section contains a complete set of lecture slides for the course, including guest lectures. Lectures 3, 4, and 6 have audio links to speech samples presented during the lectures.


WEEK #LEC #TOPICS
11
2		Course Overview (PDF)
Acoustic Theory of Speech Production (PDF - 1.4 MB)
23
4		Speech Sounds (PDF - 3.6 MB)
Speech Sounds (continued)
35
6		Signal Representation (PDF - 1.9 MB)
Vector Quantization (PDF - 1.8 MB)
47
8		Pattern Classification (1) (PDF - 1.1 MB)
Pattern Classification (2) (PDF)
59
10		Search (PDF)
Hidden Markov Modeling (1) (PDF)
611
12		Language Modeling (PDF)
Language Modeling (continued)
713Guest Lecture by Karen Livescu: Graphical Models (PDF)
Quiz 1
814
15		Guest Lecture by Rita Singh: Hidden Markov Modeling (2) (PDF - 2.1 MB)
Guest Lecture by Rita Singh: Hidden Markov Modeling (3) (PDF - 1.4 MB)
916
17 		Segment-Based ASR (PDF)
Guest Lecture by Lee Hetherington: Finite-State Transducers (PDF)
1018
19 		Acoustic-Phonetic Modeling (PDF)
Robust ASR (1) (PDF)
1120
21 		Guest Lecture by Timothy Hazen: Robust ASR (2) (PDF)
Guest Lecture by Timothy Hazen: Adaptation (PDF)
1222
23 		Speech Understanding (PDF - 1.1 MB)
Guest Lecture by Timothy Hazen: Paralinguistic Information (PDF - 1.0 MB)
13Quiz 2
No Lecture
14
Term Project Presentations



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