**Time and Place: **
Tuesdays and Thursdays, 9:30-10:50, 1015 ECEB

## Textbook

The first four labs will draw from either Discrete-Time Speech Signal Processing: Principles and Practice or Theory and Applications of Digital Speech Processing. Haven't figured out yet which book I'll track most closely; Quatieri is better for some things, Rabiner for others. For each lab, I'll also post at least one recommended IEEE or ISCA article, that covers the key concepts.

## Instructors

- Professor: Mark Hasegawa-Johnson, netid: jhasegaw.
- Teaching Assistants: TBA.

## Grading

- Points are allocated to the two types of assignments:
- 50%: exams (equally weighted)
- 50%: labs (equally weighted)

- Grade cutoffs are approximately as follows, where mu=class average, sigma=standard deviation.
- min(90%, mu+0.25sigma): A-, min(94%, mu+0.5sigma): A, min(99%, mu+1.5sigma): A+
- min(75%, mu-sigma): B-, min(80%, mu-0.75sigma): B, min(85%, mu): B+
- min(60%, mu-2.25sigma): C-, min(65%, mu-2sigma): C, min(70%, mu-1.25sigma): C+
- min(45%, mu-3sigma): D-, min(50%, mu-2.75sigma): D, min(55%, mu-2.5sigma): D+