| Date | Topic | Reading | Due |
| 2/1 |
Introduction, Phonetics and phonology |
- |
- |
| 2/8 |
Analog signals and analog-to-digital conversion |
- |
- |
| 2/15 |
Fourier analysis |
- |
- |
| 2/22 |
Feature extraction |
- |
- |
| 3/1 |
Overview of statistical approach to automatic speech recognition |
J&M: 9.1 |
HW1 |
| 3/8 |
Hidden Markov models, Viterbi algorithm; Exercise |
J&M: 6.1~6.4 |
- |
| 3/15 |
Forward algorithm, Baum-Welch algorithm |
J&M: 6.3, 6.5 |
- |
| 3/22 |
Lab: Materials for HTK |
HTK Tutorial |
- |
| 3/29 |
NO CLASS - Spring recess |
- |
- |
| 4/5 |
HTK: Hidden Markov Model Toolkit |
HTK Tutorial |
- |
| 4/12 |
HTK: Hidden Markov Model Toolkit |
HTK Tutorial |
HW2 |
| 4/19 |
Overview of text-to-speech synthesis |
J&M: 8 |
- |
| 4/26 |
Text processing |
J&M: 8.1 |
- |
| 5/3 |
Signal-processing modifications: TD-PSOLA |
J&M: 8.4 |
- |
| 5/10 |
Unit-selection methods; HMM-based synthesis |
J&M: 8.5 |
HW4 |
| 5/17 |
Emotion in speech |
- |
HW5 |
| 5/24 |
Final project due 7:30PM |
- |
- |