Sst09
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| Speech Enhancement Employing Laplacian-Gaussian Mixture | | Speech Enhancement Employing Laplacian-Gaussian Mixture | ||
- | | [Media:Speech distribution | + | | [Media:Speech distribution] |
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| 11/26 | | 11/26 |
Revision as of 21:59, 19 November 2009
Date | Speaker | Topic | |
---|---|---|---|
09/17 | Mark Hasegawa-Johnson | Baum's two papers | |
09/24 | Jui-Ting Huang | Variable-Parameter Hidden Markov Models | |
10/01 | Allerton speakers | at Allerton, in Monticello | |
10/08 | Lae-Hoon Kim | Independent Component Analysis (ICA) | |
10/15 | Arthur | Discriminative Learning for Minimum Error Classification (Arthur's slides) | |
10/22 | David Cohen | Computationally Efficient Nested FFTs | |
10/29 | Chi Hu | Global Optimization of a Neural Network-Hidden Markov Model Hybrid | |
11/5 | Dave Harwath | Intro to Language Identification | |
11/12 | Sujeeth Bharadwaj | Sparse Classification | |
11/19 | Po-Sen Huang | Speech Enhancement Employing Laplacian-Gaussian Mixture | [Media:Speech distribution] |
11/26 | Thanksgiving | no meeting | |
12/3 | Harsh Vardhan Sharma | A Unifying View of Linear Gaussian Models | |
12/10 | Sarah | Auditory Modeling |