Changes between Version 8 and Version 9 of TheoryAndAlgorithms


Ignore:
Timestamp:
10/08/08 16:04:09 (14 years ago)
Author:
DavidGelbart
Comment:

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  • TheoryAndAlgorithms

    v8 v9  
    1515  * [http://www.cis.hut.fi/Opinnot/T-61.6040/pellom-2004/ Slides from Bryan Pellom's 2004 speech recognition class] 
    1616  * [http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-345Automatic-Speech-RecognitionSpring2003/CourseHome/ Slides from Automatic Speech Recognition, Spring 2003, MIT] 
    17   * [http://www.cse.ogi.edu/class/cse552/ Hidden Markov Models for Speech Recognition, Spring 2004, OGI (PowerPoint ONLY)] 
     17  * [http://www.cse.ogi.edu/class/cse552/ Hidden Markov Models for Speech Recognition, Spring 2004, OGI] 
    1818  * "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition": this classic article by Rabiner can be found with Google or Google Scholar 
    1919  * "Automatic speech recognition: History, methods and challenges" is a 2008 article by Douglas O'Shaughnessy in the journal Pattern Recognition (volume 41, issue 10) 
     
    2222  * There is a nice little overview of the EM algorithm, with references, in the paper  [http://dspace.mit.edu/bitstream/1721.1/6620/2/AIM-1458.pdf Convergence Results for the EM Approach to Mixtures of Experts Architectures] by Jordan and Xu  
    2323  * [http://www.icsi.berkeley.edu/ftp/global/pub/techreports/1997/tr-97-021.pdf Jeff Bilmes' Tutorial on the EM algorithm].   
    24   * [http://www.essex.ac.uk/speech/archive/archive.html Essex phonetics articles] 
    2524  * [http://www.cs.jhu.edu/~jason/papers/abstracts.html#tnlp02 Jason Eisner's Interactive Spreadsheet for Teaching the Forward-Backward Algorithm]  
    2625  * Yaroslav Bulatov's recommendations of online machine learning materials:  [http://yaroslavvb.blogspot.com/2006/03/machine-learning-videos.html here] and  [http://yaroslavvb.blogspot.com/2006/03/graphical-models-class-notes.html here].