HumIT ex1gr3

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(List of topics for HumIT and other HFOSS learning activities)
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= Exercise 1 - Group 3 =
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= Exercise 1 - Group 3 =
 
= Exercise 1 - Group 3 =
  
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Build towards a Sign-Language recognition package
 
Build towards a Sign-Language recognition package
  
Learn to use the SPHINX speech recognition package
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    Learn to use the SPHINX speech recognition package
 
      
 
      
Obtain and install the software
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        Obtain and install the software
 
          
 
          
Run a demo dataset
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        Run a demo dataset
*This is a substantial learning activity.  It involves becoming familiar with formats of audiology datasets, and their adaptation to SPHINX.
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            This is a substantial learning activity.  It involves becoming familiar with
 +
            formats of audiology datasets, and their adaptation to SPHINX.
 
              
 
              
Modify SPHINX for alternative kinds of data (e.g. vectors extracted from images/videos of sign language in use)
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    Modify SPHINX for alternative kinds of data (e.g. vectors extracted from images/videos
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    of sign language in use)
 
          
 
          
Understand topologies of models for training
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        Understand topologies of models for training
 
      
 
      
  
 
[http://foss.unh.edu/mediawiki/index.php/Speech:Home Speech @ UNH Manchester]
 
[http://foss.unh.edu/mediawiki/index.php/Speech:Home Speech @ UNH Manchester]

Revision as of 18:42, 31 August 2017

Exercise 1 - Group 3

Exercise 1 - Group 3

List of topics for HumIT and other HFOSS learning activities

Working with an HFOSS project -

Build towards a Sign-Language recognition package

   Learn to use the SPHINX speech recognition package
   
       Obtain and install the software
       
       Run a demo dataset
           This is a substantial learning activity.  It involves becoming familiar with
           formats of audiology datasets, and their adaptation to SPHINX.
           
   Modify SPHINX for alternative kinds of data (e.g. vectors extracted from images/videos
   of sign language in use)
       
       Understand topologies of models for training
   

Speech @ UNH Manchester

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