Answers.Body: <p>This is typically done by supervised learning.   Which begins with finding or gathering a corpus of annotated data representative of your problem.  Then training an ML algorithm to minimize its loss on training and test data.</p>
  <p>In the case of a task where there are models which do very similar tasks, one may attempt transfer training to minimize the amount of data that needs to be collected.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2024-02-21T04:05:03.363Z
Answers.LastActivityDate: 2024-02-21T04:05:03.363Z
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Body: <p>Speech recognition AI generated technology for impaired speech recognition.</p>
  
Tags: <deep-learning><speech-recognition>
Title: How can I train AI to learn how to recognize highly impaired speech from a dystonic person?
UserDisplayName: Nelson
ThreadText: # How can I train AI to learn how to recognize highly impaired speech from a dystonic person?
  
  (Asked by: username_0 on 2024-02-20)
  
  Speech recognition AI generated technology for impaired speech recognition.
  
  **Tags:** deep-learning, speech-recognition
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2024-02-21. Score: 1
  
  This is typically done by supervised learning. Which begins with finding or gathering a corpus of annotated data representative of your problem. Then training an ML algorithm to minimize its loss on training and test data.
  
  In the case of a task where there are models which do very similar tasks, one may attempt transfer training to minimize the amount of data that needs to be collected.
  
  
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