CMU Multilingual NLP 2020 - Automatic Speech Recognition

CMU Multilingual NLP 2020 - Automatic Speech Recognition

Graham Neubig via YouTube Direct link

Automatic Speech Recognition

1 of 16

1 of 16

Automatic Speech Recognition

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CMU Multilingual NLP 2020 - Automatic Speech Recognition

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  1. 1 Automatic Speech Recognition
  2. 2 Voice Dialing System
  3. 3 Matching in Frequency Domain
  4. 4 Dynamic Time Warping
  5. 5 DTW algorithm
  6. 6 Matching Templates
  7. 7 DTW issues
  8. 8 More reliable matching
  9. 9 More reliable distances
  10. 10 Extending template model
  11. 11 Training an acoustic model
  12. 12 Language Model Estimate cost of sequence of words in the language • Need appropriate training data
  13. 13 Pronunciation Model
  14. 14 Measuring ASR Success
  15. 15 How good is good?
  16. 16 ASR Discussion Point

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