Audio & Speech Processing

Instructor: Dr. Tribeni Prasad Banerjee [Room No-GF-036]

Course Name: Audio and Speech Processing []

Code: 702D

Date and Schedule Time: As per routine

Course Objective:

The aim of the Speech and Audio Processing subject is to spreads across a number of fundamental and direct application research areas| including, for example, signal processing for separation, recognition, transcription, enhancement, coding, synthesis as well as applications to advanced fixed and wireless communication systems.

Course Outcomes:

After the course, the student -can design and implement algorithms for processing audio and speech signals using Matlab -can take into account the properties of acoustic signals and human hearing in the design of audio signal processing systems. -understands the speech production apparatus and its models -can estimate the effect of the signal representations on sound quality. -can explain the main principles of common audio signal processing operations (equalization, dynamic control, perceptual audio coding.

Course Syllabus/Content:

1] Basic properties of audio and speech signals, Basic concepts and operations of audio signal processing, Introduction to acoustics and hearing;

2] Processing of digital audio signals, dynamic control, equalization, perceptual audio coding, sound synthesis;

3] Processing of speech signals: articulatory phonetics, models of speech production, linear prediction and acoustic feature extraction. 

Course Plan:

Course Assessments:

1] Homework Assignments [20%]

2] Termpaper / Projects [40%]

3] Midterm/Classtest [40%]

References Books:

1] Digital Audio Signal Processing by John Wiley & Sons Ltd., 2nd edition, 2008, Zölzer, Udo.

2] Speech and Audio Signal Processing: Processing and Perception of Speech and Music by B. Gold, N. Morgan, D. Ellis

Web resource: