People Innovation Excellence

SPEECH RECOGNITION (2/2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to:

  1. Explain the fundamental of speech recognition
  2. Execute proper speech recognition experiments workflow
  3. Analyze the strengths and weaknesses of a system that utilizes speech technology
  4. Construct speech recognition system to solve real problems

Topics:

  1. Intro to Speech Recognition
  2. Phonetics
  3. Dialog System Overview
  4. Dialog System Design
  5. End to End dialog apporaches
  6. Automatic Speech Recognition
  7. Acoustic Modelling
  8. Neural Net Speech Recognition
  9. State of The Art Automatic Speech Recognition
  10. Fondation Model and SpeechBrain Training
  11. Text to Speech
  12. Text to Speech Improvement
  13. Project
  14. Introduction to Python
  15. Introduction to Audio and Audio Library
  16. MFCC
  17. HMM-GMM
  18. Wav2Vec
  19. Quiz 1
  20. Speech to Text
  21. Text to Speech
  22. Speech Recognition using CNN
  23. Speaker recognition using CNN
  24. Review
  25. FInal Exam

Published at : Updated

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