Changes between Version 3 and Version 4 of TheoryAndAlgorithms


Ignore:
Timestamp:
10/08/08 15:45:27 (14 years ago)
Author:
DavidGelbart
Comment:

--

Legend:

Unmodified
Added
Removed
Modified
  • TheoryAndAlgorithms

    v3 v4  
    44behind automatic speech recognition (ASR) technology.   
    55 
    6 Online educational resources: 
     6'''Online educational resources:''' 
    77 
    88  * Slides from ASR course taught at Stanford by Dan Jurafsky:  [http://www.stanford.edu/class/cs224s/ here] and  [http://www.stanford.edu/class/linguist236/ here]  
     
    3131  *  [http://www.dspguide.com/ The Scientist and Engineer's Guide to Digital Signal Processing] free online DSP book 
    3232 
    33 Here is a short list of books.  This is not a complete list of popular or recommended books!  The books I list here vary in  
    34 focus so I've mentioned how to find the table of contents online.  I also recommend checking out the reviews on amazon.com. 
     33'''Book recommendations:''' 
     34 
     35Some book recommendations from David Gelbart. (This is not a complete list of popular or recommended books. 
     36The books vary in focus so I've mentioned how to find the table of contents online. I also recommend checking  
     37out the reviews on amazon.com.)  
    3538 
    3639  * Spoken Language Processing: A Guide to Theory, Algorithm and System Development by Xuedong Huang, Alex Acero, Hsiao-Wuen Hon.  The table of contents can be viewed [http://vig.prenhall.com/catalog/academic/product/1,4096,0130226165,00.html here]. 
     
    3841  * Speech Processing -- A Dynamic and Optimization-Oriented Approach by Li Deng and D. O'Shaughnessy.  The table of contents can be viewed on amazon.com. 
    3942  *  Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech  Recognition by Daniel Jurafsky and James H. Martin.  The table of contents (and long excerpts) can be viewed [href="www.cs.colorado.edu/~martin/slp.html here]. 
     43  * Pattern Classification by Duda, Hart, and Stork (this is about pattern recognition in general, not ASR in particular) 
    4044 
    41 Gunnar Evermann's book recommendations can be found [htk.eng.cam.ac.uk/~ge204/refs.shtml here].  I'm not sure if that page will stay up now that he's leaving the HTK project, so here is a summary: 
    42   * Pattern Classification by Duda, Hart, and Stork (this is one of my favorites too)</li> 
     45Gunnar Evermann's book recommendations (this is a summary of [htk.eng.cam.ac.uk/~ge204/refs.shtml this page]) 
     46  * Pattern Classification by Duda, Hart, and Stork  
    4347  * Introduction to Statistical Pattern Recognition by Fukunaga 
    4448  * Automatische Spracherkennung -- Grundlagen, statistische Modelle und effiziente Algorithmen by Schukat-Talamazzini 
     
    4852  * Corpus-Based Methods in Language and Speech Processing, edited by Young and Bloothooft  
    4953 
     54'''Applications of ASR:''' 
     55 
    5056[http://www.speechtechmag.com/ Speech Technology Magazine] is a good source for information about applications of 
    5157speech technology.   
     58 
     59'''Current ASR research:''' 
    5260 
    5361If you want to know what techniques are currently attracting attention at the cutting edge of ASR research, papers that describe speech recognition systems that were built for official project benchmarks can be a good source of information.  These systems tend to use a lot of different, carefully chosen techniques.  Many of these papers have a year (the year of the benchmark) and the word "system" in the title, which makes them easy to find. For example, many such papers can be found with a Google Scholar search for: