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第1行： |
| − | =Speech recognition=
| + | [[Public Research Tools]] |
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| − | 1. Noise robustness
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| − | http://www1.icsi.berkeley.edu/Speech/papers/gelbart-ms/pointers/
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| − | 2. Qualcomm-ICSI-OGI front end
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| − | http://www1.icsi.berkeley.edu/Speech/papers/qio/
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| − | =Machine Learning=
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| − | 1. general Bayesian inference: doc and tool
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| − | http://ksvanhorn.com/bayes/free-bayes-software.html
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| − | 2. The Variantional Bayesian toolkit:
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| − | http://www.gatsby.ucl.ac.uk/vbayes/vbsoftware.html
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| − | The sampling based Bayesian approach can be obtained here:
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| − | http://www.mrc-bsu.cam.ac.uk/bugs/
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| − | 3. Topic models from David Blei
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| − | http://www.cs.princeton.edu/~blei/topicmodeling.html
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| − | 4. MCMC approaches also here
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| − | http://www.mppmu.mpg.de/bat/
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| − | http://www.mpe.mpg.de/~aws/BayesForum_201204_KK.pdf
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| − | 5. Topic models Biography
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| − | http://www.cs.princeton.edu/~mimno/topics.html
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| − | 6. Gibbs LDA
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| − | http://gibbslda.sourceforge.net/
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| − | 7. Tools for DPMM
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| − | Jacobei
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| − | https://github.com/jacobeisenstein/DPMM
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| − | Sickit
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| − | http://scikit-learn.org/0.11/index.html
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| − | Hains
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| − | http://code.google.com/p/haines/
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| − | 8. Sparse SVMs
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| − | http://www.enm.bris.ac.uk/staff/xkh/
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| − | 9. Lasso
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| − | http://www-stat.stanford.edu/~tibs/lasso.html
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| − | 10. Sparse LU
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| − | http://crd-legacy.lbl.gov/~xiaoye/SuperLU/
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| − | 11. Ensemble SVM
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| − | http://homes.esat.kuleuven.be/~claesenm/ensemblesvm/
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| − | 12. Online learning toolkit
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| − | http://www.cais.ntu.edu.sg/~chhoi/libol/
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| − | 13. VBEM-GMM
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| − | http://www.cs.ubc.ca/~murphyk/Software/VBEMGMM/index.html
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| − | 14. pylearn2
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| − | http://deeplearning.net/software/pylearn2/
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| − | =NLP toolkits and resources=
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| − | 1. Stanford tools
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| − | http://nlp.stanford.edu/software/
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| − | 2. Traditional Chinese public dictionary and statistics
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| − | http://www.edu.tw/files/site_content/m0001/pin/yu7.htm?open
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| − | 3. Idiom Traditional Chinese public words
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| − | http://dict.idioms.moe.edu.tw/cydic/index.htm
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| − | 4. RNN toolkit from microsoft
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| − | http://research.microsoft.com/en-us/projects/rnn/
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| − | 5. A bunch of resources
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| − | http://www-nlp.stanford.edu/links/statnlp.html
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| − | =SID toolits=
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| − | 1. Alize from Avignon
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| − | http://mistral.univ-avignon.fr/download_en.html
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| − | 2. Idiap
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| − | https://github.com/bioidiap/xbob.spkrec
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| − | http://www.idiap.ch/~marcel/professional/Resources.html
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| | =People you may want to follow= | | =People you may want to follow= |
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2014年9月23日 (二) 00:32的版本
Public Research Tools
People you may want to follow
1. Dong Yu, MS
http://research.microsoft.com/en-us/people/dongyu/
2. Geoffrey E. Hinton, U. Toronto
http://www.cs.toronto.edu/~hinton/
3. Deng Li, MS
http://research.microsoft.com/en-us/people/deng/
4. Tara Sainath, IBM
http://www.researchgate.net/profile/Tara_Sainath/publications/
http://www.informatik.uni-trier.de/~ley/pers/hd/s/Sainath:Tara_N=.html
5. Daniel Povey, JHU
http://www.danielpovey.com/
6. Patrick Kenny, CRIM
http://www.crim.ca/perso/patrick.kenny/
7. Nelson Morgan, ICSI Berkley
http://www1.icsi.berkeley.edu/~morgan/
