Syllabus

Lectures

Labs and Exams

Piazza

Compass

  1. T 8/28: Overview; Fourier Transforms Review: MOV, WMV, MP4, Sample Problems, Solutions.
  2. R 8/30: Filtering. MOV, WMV, MP4, Sample Problems, Solutions.
  3. T 9/4: Zero-Mean White Gaussian Noise. MOV, WMV, MP4, Sample Problems, Solutions.
  4. R 9/6: Speech Signals. MOV, WMV, MP4, Sample Problems, Solutions.
  5. T 9/11: Windowed Speech Signals. MOV, WMV, MP4, Sample Problems, Solutions. Lab 1 Released
  6. R 9/13: Mixed-Excitation Speech Synthesis. MOV, WMV, MP4, Sample Problems, Solutions, MP1 Walkthrough.
  7. T 9/18: Parameter Estimation for Mixed Excitation. Sample Problems, Solutions.
  8. R 9/20: Classifiers. Slides, Sample Problems, Solutions.
  9. T 9/25: Gaussians. Slides: PPTX, PDF. Sample Problems, Solutions. Lab 1 Due
  10. R 9/27: Principal Component Analysis. Slides: PPTX, PDF. Sample Problems, Solutions.
  11. T 10/2: Mel Frequency Cepstrum. Slides: PPTX, PDF. Sample Problems, Solutions. Lab 2 Released
  12. R 10/4: Hidden Markov Models. Notebook: IPYNB, HTML.
    Sample problems include fa2017exam3 question 3, sp2016exam2 questions 4 and 5, sp2015exam2 question 1, sp2014exam2 questions 4,5.
  13. T 10/9: Expectation Maximization. Notebook: IPYNB, HTML.
    Lab 2 Walkthrough.
  14. R 10/11: Exam 1 Review
    Sample questions I'll do in class, if there is time: f17x3q3, s16x2q4, s16x3q5, f17x1q2, s16x1q1, ps5.3.
  15. T 10/16: Lecture Canceled
  16. R 10/18: Exam 1
  17. T 10/23: Neural Nets. Slides, Sample Problems, Solutions. Lab 2 Due
  18. R 10/25: Convolutional Neural Nets. Slides, Sample Problems, Solutions.
  19. T 10/30: Mini-Batch, Data Augmentation. Slides, Sample Problems, Solutions. Lab 3 Released
  20. R 11/1: MP3 Walkthrough. Image shift, scale, rotate and shear. Slides, Sample Problems, Solutions.
  21. T 11/6: Image upsampling, downsampling, and interpolation. IPYNB, HTML. Sample Problems, Solution.
  22. R 11/8: Adversarial Examples, Adversarial Training, Autoencoders, Variational Autoencoders, and Generative Adversarial Networks. Slides, Sample Problems, Solutions.
  23. T 11/13: Face-to-lips conversion. PPTX, PDF. Lab 3 Due
  24. R 11/15: Barycentric Coordinates; Slides, Sample Problems, Solutions. Lab 4 Released
  25. T 11/20: Vacation
  26. R 11/22: Vacation
  27. T 11/27: MP4 Walkthrough: Slides
  28. R 11/29: Guest lecture: Kuangxiao Gu, Face Animation. Slides
  29. T 12/4: Recurrent Neural Nets, Long Short-Term Memory. Slides, Sample Problems, Solutions.
  30. R 12/6: Unwritten Languages as a Test Case for the Theory of Phonetic Universals. PPT, PDF. Lab 4 Due
  31. T 12/11: Exam 2 Review. Practice Exam, Solutions.
  32. Exam 2: December 15, 19:00-22:00. Covers: lectures 17 (NN)-24 (Barycentric), and 29 (RNN).