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Automatic Speech Recognition >> Content Detail

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This calendar provides lecture topics covered in the course, along with links to lecture notes and assignments. Some of the lecture notes contain links to sample audio files.


WEEK #	LEC #	TOPICS	ASSIGNMENTS


1	1 2	Course Overview (PDF) Acoustic Theory of Speech Production (PDF - 1.4 MB)


2	3 4	Speech Sounds (PDF - 3.6 MB) Speech Sounds (continued)	Acoustic Theory (PDF)


3	5 6	Signal Representation (PDF - 1.9 MB) Vector Quantization (PDF - 1.8 MB)	Speech Sounds (PDF)


4	7 8	Pattern Classification (1) (PDF - 1.1 MB) Pattern Classification (2) (PDF)	Signal Representation (PDF)


5	9 10	Search (PDF) Hidden Markov Modeling (1) (PDF)	Acoustic Modeling (PDF)


6	11 12	Language Modeling (PDF) Language Modeling (continued)	Introduction to HMMs (PDF)


7	13	Graphical Models (PDF) Quiz 1	Language Modeling (PDF)


8	14 15	Hidden Markov Modeling (2) (PDF - 2.1 MB) Hidden Markov Modeling (3) (PDF - 1.4 MB)	Graphical Models (PDF)


9	16 17	Segment-Based ASR (PDF) Finite-State Transducers (PDF)	HMM (2) (PDF)


10	18 19	Acoustic-Phonetic Modeling (PDF) Robust ASR (1) (PDF)	Segment-Based ASR (PDF)


11	20 21	Robust ASR (2) (PDF) Adaptation (PDF)	Term Project


12	22 23	Speech Understanding (PDF - 1.1) Paralinguistic Information (PDF - 1.0 MB)	Term Project


13		Quiz 2 No Lecture	Term Project


14		Term Project Presentations	Term Project

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