Date |
Topic |
Presenter |
Slides |
6.2. |
Introduction, practical issues, distributing topics |
Mikko Kurimo |
13.2. |
A3 Recent Advances in the Multistream HMM. |
Ramunas Girdziusas |
girdziusas1.pdf
|
20.2. |
B3 Speaker Compensation in Automatic Speech Recognition. |
Ramunas Girdziusas |
girdziusas2.pdf
|
A1 Speech Recognition in Noisy Environments: A Survey. |
Tapani Raiko |
raiko1.pdf
|
27.2. |
NO MEETING |
|
6.3. |
B4 Robustness in Statistical Language Modeling |
Matti Aksela |
aksela1.pdf
|
A6 HMM adaptation for applications in telecommunication. |
Kartikesh Raju |
raju1.pdf
|
13.3. |
B8 Robust Parsing and Beyond, B9 Robust Parsing of Word Graphs |
Matti Aksela |
aksela2.pdf
|
20.3. |
B2 Acoustic Features and Distance Measure |
Teemu Hirsimäki |
hirsimaki1.pdf
|
Parallel Model Combination |
Kartikesh Raju |
raju2.ps
|
27.3. |
B5 Improving Robustness by Modeling Spontaneous Speech Events |
Teemu Hirsimäki |
hirsimaki2.pdf
|
B6 Regular Approximation of Context-Free Grammars, B7 Weighted Grammar Tools: The GRM Library |
Tapani Raiko |
raiko2.pdf
|
3.4. |
  |
  |
10.4. |
  |
  |
17.4. |
NO MEETING |
|
24.4. |
NO MEETING |
|
1.5. |
NO MEETING |
|
8.5. |
Final meeting: give a short
presentation about your project work (~10 minutes) |
  |