Sst09

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| 10/15
| 10/15
| [[User:Arthur|Arthur]]
| [[User:Arthur|Arthur]]
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| [[Media:JuangDiscriminativeLearningMinimumErrorClassification.pdf|Discriminative Learning for Minimum Error Classification]]
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| [[Media:JuangDiscriminativeLearningMinimumErrorClassification.pdf|Discriminative Learning for Minimum Error Classification]] ([[Media:MCEpresent.odp|Arthur's slides]])
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|-
| 10/22
| 10/22
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|  
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| David Cohen
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|
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| [http://isle.illinois.edu/slides/2009/nested_fft_presentation.ppt Computationally Efficient Nested FFTs]
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|-
| 10/29
| 10/29
| Chi Hu
| Chi Hu
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| (Not decided yet)
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| [[Media:Nueral_network_and_HMM.pdf‎|Global Optimization of a Neural Network-Hidden Markov Model Hybrid]]
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|-
| 11/5
| 11/5
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| 11/19
| 11/19
| Po-Sen Huang
| Po-Sen Huang
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| (Not decided yet)
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|[[Media:Speech_Enhancement.pdf‎|Speech Enhancement Employing Laplacian-Gaussian Mixture]] ([[Media:speech_distribution.pdf‎|slide]])  
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|-
| 11/26
| 11/26
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|-
|-
| 12/3
| 12/3
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| Harsh
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| [[User:Hsharma|Harsh Vardhan Sharma]]
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| Summary of some of Mark Gales' work
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| EM, PCA and more ([[Media:Tipping_Bishop_ppca.pdf|Paper 1]],[[Media:Tipping_Bishop_mppca.pdf|Paper 2]], [[Media:SSTfall09_hsharma.pdf|Harsh's slides]])
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| 12/10
| 12/10

Latest revision as of 01:03, 1 December 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 (slide)
11/26 Thanksgiving no meeting
12/3 Harsh Vardhan Sharma EM, PCA and more (Paper 1,Paper 2, Harsh's slides)
12/10 Sarah Auditory Modeling
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