ECE398BD: Audio and Visual Analytics (Labs)
Schedule
|
Topic |
Lab |
Quiz |
Assigned |
Due |
Lab 6 |
Introduction to Audio and Visual Analytics |
download |
No quiz |
Oct 3 |
Oct 10 @ 23:59 |
Lab 7 |
Clustering for Audio and Images |
download |
Oct 11 |
Oct 10 |
Oct 17 @ 23:59 |
Lab 8 |
Shazam |
download |
Oct 18 |
Oct 17 |
Oct 24 @ 23:59 |
Lab 9 |
Image Retrieval |
download |
Oct 25 |
Oct 24 |
Oct 31 @ 23:59 |
Lab 10 |
Working with Videos and Introduction to Deep Learning |
download |
Nov 1 |
Oct 31 |
Nov 7 @ 23:59 |
Clarifications, Hints and Errata
Lab 10
Lab 9
Lab 8
-
Please use the section of 20-30s for the WakeMeUp.wav
-
There is a typo in the docstring for function get_2D_peaks. Axis=0 corresponds to frequency, axis=1 corresponds to time.
Lab 7
Lab 6
-
Exercise 3(a): You can pick the first 1500-2000 Hz
-
Exercise 3(b): For visualizing the Fourier transform of the rectangular and Hamming windows, make sure to pass/set the number of samples ‘n’ of the np.fft.rfft to a number more than the length of the window, e.g. 3*window_length. Play around with the range of frequencies to plot until you get spectrums matching what you saw in ECE310.
-
Exercise 3(c): Here too, make sure to pass/set the number of samples ‘n’ of the np.fft.rfft to a number more than the length of the window, e.g. 3*window_length.
|