Mech DAMP Blog

EE679 - Speech Processing

EE679 - Speech Processing

Instructor

Preeti Rao

Semester

Autumn ‘21

Course Difficulty

You will have to watch all the lectures properly to understand the course content. Otherwise it will be quite difficult to cope up.

Time Commitment Required

5 hours on a weekly basis including class hours

Grading Policy and Statistics

Moderate grading statistics

Attendance Policy

Not compulsory attendance in online semester

Pre-requisites

Knowledge of signals (EE 210) and Probability (EE 325) will be required

Evaluation Scheme

Weekly Moodle Quizzes - 10 %
3 assignments or 2 assignments + 1 paper review - 25 %
Midsem - 20 %
Endsem - 45 %

Topics Covered in the Course

Speech production and acoustic phonetics, speech perception;
Speech analysis: time and frequency domain techniques for pitch and formant estimation, cepstral and LPC analysis;
Speech synthesis: articulatory, formant, and LPC synthesis, voice response and text-to-speech systems;
Applications: data compression, vocoders, speech enhancement, speech recognition, speaker recognition, aids for the speech and hearing impairments.

Teaching Style

2 to 3 hours of recorded lectures + weekly live interaction of 1.5 hour

Tutorials/Assignments/Projects

All the three assignments were coding assignments (Python on Jupyter or Colab) of moderate difficulty. We had to implement a few models taught in lectures.

Feedback on Exams

Exams were purely conceptual, hence watching lectures is important.

When to take this course?

Not recommended in second year, the course can be done in 3rd year if the pre-requisites have been covered. 7th or 9th semester is ideal for this course.

References Used

Ma’am provides reference papers for understanding / extra learning. Apart from that, no book that covers everything ma’am teaches, hence we have to rely on lectures and lecture notes.

https://bit.ly/33IpgoQ

Review By: Avyakta Wrat