1. Speech Recognition
by-
Arpit Kumar (2191)
Nitin Kanaujia (2269)
Raghav Vij (2291)
Mentor-
Mr. B Suresh

2. Introduction
• What is speech?
• What is speech recognition?

3. Why do we need speech
recognition
• Most Natural Form Of
Communication
• Differently abled people
• Illiterate
• Helplines
• Cars

4. TYPES
• An Automated Speech Recognition can be-
• Speaker dependent
• Speaker independent
• Continuous Speech
• Limited Vocabulary
• Unlimited Vocabulary

5. How speech recognition works

7. • Speech segment extraction-
Three classes of sound –
• Voiced sound , unvoiced sound and silent
• Get differentiated on entropy , energy and zero
crossing theorems
• Speech signal capture
• Endpointing
• Feature extraction from speech signal
• Template matching algorithm
• Acoustic models
• Language models
• Pronunciation models

8. Recognition Flowchart presentation
Voice Input Analog to Digital Acoustic Model
Language Model
Display Speech EngineFeedback

9. Real life example

10. Speech Recognition Problems

13. Application
Driver - Car Interaction