EE698V: Machine Learning for Signal Processing

To audit the course, please email vishalku@

This course aims at introducing the students to machine learning (ML) techniques used for various signal processing applications. There will be spectral processing techniques for analysis and transformation of audio signals. The lectures will focus on mathematical principles, and there will be coding based assignments for implementation. Prior exposure to ML is not required. The course will be focused on applications in audio signal processing, and the theory will be tailored towards that end.

Grading Scheme

1. Continuous Assessment – 50% (5 best out of 6)
   Assignments (coding and theory), Quizzes
2. Mid-semester Exam – 20%
   Written and/or oral exam
3. End-semester Exam – 30%
   Written exam and/or project submission

There may be oral exams or viva via video chat or phone call.

Plagiarism Penalty:

As heavy as possible. Zero-tolerance policy.