Course Details
Subject {L-T-P / C} : EE6145 : Digital Speech Processing { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prasanna Kumar Sahu
Syllabus
| Module 1 : |
Module 1 (4 Hours)
|
Course Objective
| 1 . |
To provide students with the knowledge of basic characteristics of speech signal in relation to production and hearing of speech by humans |
| 2 . |
To describe basic algorithms of speech analysis common to many applications |
| 3 . |
To give an overview of applications (recognition, synthesis, coding) and to inform about practical aspects of speech algorithms implementation. |
| 4 . |
To give an overview of speech processing applications, including speech enhancement, speech recognition, and speaker recognition. |
Course Outcome
| 1 . |
1. The students will get familiar with the basic characteristics of speech signals, which are concerned with the production and hearing of speech by humans.
|
Essential Reading
| 1 . |
Gold Ben, Nelson Morgan, and Dan Ellis, Speech and Audio signal processing: processing and perception of speech and music, John Wiley & Sons , 2nd Edition, August 2011 |
| 2 . |
S.D Apte, Speech and Audio Processing, Wiley India , Edition, 2015 |
Supplementary Reading
| 1 . |
Rabiner Lawrence R., and Biing-Hwang Juang, Fundamentals of Speech Recognition, Prentice Hall International , 1993 |
| 2 . |
Benesty Jacob, M. Mohan Sondhi, and Yiteng Huang, Handbook of speech processing, Springer , 2007 |



