Sst09

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| Po-Sen Huang
| Po-Sen Huang
| Speech Enhancement Employing Laplacian-Gaussian Mixture
| Speech Enhancement Employing Laplacian-Gaussian Mixture
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| [Media:Speech distribution|slides]
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| [Media:Speech distribution]
|-
|-
| 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
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