Face & Voice Recognition

1. Interaction with Face & Voice
Ankit Shukla, Feb 2

2. Agenda
 Introduction
 Why Now ?
 Why This ?
 Facial Recognition
 Voice Recognition
 A Small Demo
 Q & A

3. INTRODUCTION

4. Why Now ?

5. Why These ?
 Maturity of models
 Rapid Research - openCV to tensorflow
 Interaction Easiness
 Hardware Support
 No need of physical devices – in case of authentication

6. Facial Recognition – Step by Step

7. 1. Find a face - HOG
Picture
Grayscale
Gradient

8. Gradients

9. Gradients – contd …

10. Gradients – contd …

11. Finally found a face 

12. It looks like our face

13. 2. Pose & Project

14. 3. Encode Face

15. 4. Training Model

16. Voice Recognition – Step by Step

17. 1. Analog To Digital

18. 2. Acoustic Modelling

19. 3. Language Modelling

20. Overall

21. What to Test ?
 Accuracy
 Precision
 Other Tests
 Load
 Security, etc.

22. Confusion Matrix

23. Accuracy

24. Recall (Sensitivity)

25. Precision

26. Prepare your test data
 Right mix
 Non – uniform distribution
 Foreign Element Introduction
 Leveraging Preprocessing

27. Demo

28. Q & A

29. Thank You