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Electives Recommended for LTI graduate students:
Electrical and Computer Engineering (ECE) Department

 

Speech recognition students are encouraged to consider the following ECE courses in signal processing and pattern recognition (thanks to Rich Stern, ECE):
  • 18-396 Signals and Systems: Undergraduate course providing foundations of Fourier analysis and linear system theory. Strongly recommend for everyone interested in speech processing.
  • 18-791 Digital Signal Processing I: Core course on DSP, typically taught by me (RMS) over the last N years. Recommended for everyone who has had 18-396. Includes filter design, and introduction to linear prediction.
  • 18-792 Digital Signal Processing II: Second course in DSP. When taught by me (RMS) (which hasn't happened recently), has a substantial component devoted to speech processing, including extensive coverage of linear prediction and short-time Fourier analysis. Coverage may vary with other instructors. .
  • 18-794 Pattern Recognition Theory: Graduate-level course in pattern recognition theory. A very thorough introduction to the principles of pattern recognition, including many topics that are relevant to speech recognition. Taught every other spring.
    • Full list of ECE courses.

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