SPEECH RECOGNITION (2/2 CREDITS)

Learning Outcomes:

On successful completion of this course, students will be able to: explain the fundamental of speech recognition; execute proper speech recognition experiments workflow; analyze the strengths and weaknesses of a system that utilizes speech technology; 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.