Semaine Week |
À Lire Reading |
Échéances et Traveaux Deadlines and Assignments |
Introduction: Signal Processing, Machine Learning, and Python | ||
Jan 09, 12 |
Some helpful links for starting off :
| Mon Jan 12: HW 1 posted |
Sparse Encoding of Audio | ||
Jan 14, 19, 21 |
Papers:
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Classification and Similarity | ||
Jan 26,28; Feb 2,4 |
Papers:
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Mon Feb 2: HW 1 due |
Tempo, Beat and Meter | ||
Feb 9,11 / Feb 16,18 / Feb 23 |
Papers:
| Mon Feb 16: HW 2 posted |
Expressive Performance | ||
Feb 24, Mar 9,11,16 |
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Blind Source Separation | ||
Mar 16 |
| Mon March 16 HW 2 due |
Polyphonic Pitch Estimation | ||
Mar 18, 23 |
| Wed Mar 18: Project proposal. An email with
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Sequence Generation | ||
Mar 25 |
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Visualization (plus Pitch Tracking moved from previous week) | ||
Mar 30 / April 1 |
| Wed April 1: Homework 3 (A portion of your final project or a monophonic pitch tracker) |
Alignment | ||
April 6, 8 |
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Wed Apr 15 | Last class: what we did not cover. Doug will present. | Final Project |
Tuesday 21 april 13h30 to 15h30 | Corey, Jordan, Philippe, Pierre-Paul, Arnaud | |
Monday 27 april 13h30 to 15h30 | Mansoor,Jean-François, Thomas, Nicolas, Xavier | |
Monday 1 may 23h59:59 | Final deadline for projects! |
[1] What is "SEGDSP"? There is a decent free online textbook by Stephen Smith called the The Scientist and Engineer's Guide to Digital Signal Processing. It can be found at www.dspguide.com. Local copies of the chapters are referred to here as "SEGDSP" and are found in the directory segdsp. For signal processing, I will refer to chapters in this textbook. However, since the concepts we're dealing with are basic (Fourier analysis, convolution, filtering...) feel free to use any DSP textbook you'd like.