Master of Engineering (Computer Science & Engineering)
  Second Semester Spring-2014
-16

Course: Natural languages and Speech Processing

The
lectures notes in the following are improved versions session to session.
 
Lectures:

1.
Components of speech, Speech organs, Phonetics pdf

2. Speech Recognition Models and Applications pdf
3. Finite Automata and morphological Parsing pdf
4. Finite State Transducers for Morphological Analysis pdf
5. Computational Phonology pdf
6. Computational Phonology pdf
7. Markov Chains for Speech Recognition pdf
8. Hidden Markov Models for speech recognition pdf
9 Python for speech Recognition pdf  
10. Introduction to Natural Language Processing pdf
11. Parts of Speech Tagging pdf
12. Natural language Parsing pdf


Exercises:
1. Articulation and recognition
2. Class-test as HW 


Evaluation criteria for course-work
:
40% Weight for home work and its timely submission
20% for class tests
40% for attendance