CS753 - Automatic Speech Recognition

CS753 - Automatic Speech Recognition

Instructor

Prof Preethi Jyothi

Semester

Spring’ 21

Course Difficulty

Difficult

Time Commitment Required

High, one needs to be in constant touch with the material since the pace is high; it is easy to lose track

Grading Policy and Statistics

Pretty lenient, typical of any CS 6xx or 7xx course

Attendance Policy

Class Participation has a 5% weightage. Students had to attempt weekly Moodle quizzes for it.

Pre-requisites

Linear Algebra, Python and a formal course on Machine Learning (in the institute)

Evaluation Scheme

Class Participation 5%
3 Assignments 40%
Endsem 35%
Project 20%

Topics Covered in the Course

HMM models, WFSTs, Neural Network based Acoustic models, RNNs and Language models, Feature analysis, End-to-end architecture, Search and Decoding

Teaching Style

The professor is very proactive in the classroom. Takes doubts and clears them very well. Ample material and reading material is provided for beteer understanding

Tutorials/Assignments/Projects

Assignments are moderate to difficult and require a lot of time to solve. The project is supposed to be any topic related to ASR but should be advanced or non-trivial enough. Intoductory ML course projects are discouraged.

Feedback on Exams

The Weekly Quizzes are pretty simple given that one is attentive in class.
Endsem is open-book, majority of the questions target the students’ conceptual understanding.

Motivation for taking this course

I always had the wish to learn how ASR systems like Alexa and Siri work. I had heard the professor taught very well.

How strongly would I recommend this course?

Highly recommended

When to take this course?

Semester 6. Any semester third year onwards is good provided you have done the prerequisites

Going Forward

This course open up opportunities in the field of Automatic Speech Recognition, one can uderstand the latest research going on and participate in it too!

References Used

Slides and specific papers and textbook chapters which are mentioned at the end of each lecture

CS 753 Review By: Samyak Shah