EE599: Audio Engineering and Acoustics

To provide knowledge and skills on analyzing audio signals and designing soundscapes.

NO. OF CREDITS: 3
COMPULSORY/OPTIONAL: OPTIONAL
PREREQUISITES: NONE

MAIN TOPICS AND INTENDED LEARNING OUTCOMES

TOPICS

Fundamental concepts in Acoustics and Audio Signal Processing

Digital Audio and Audio Processing

Psycho acoustic principles and Audio Coding

Advanced Techniques in Audio Signals

Music Signal Processing

Spatial Acoustic Simulation

Audio Signal Processing Laboratory

Mini Project on acoustic environments and soundscapes

Student will be able to,

ILO1: Describe the characteristics of audio sensors, channels and actuators.

ILO2: Use analytical methods and software tools to mix, mastering and STEM mastering of audio signals.

ILO3: Analyze psycho-acoustic effects of audio signals.

ILO4: Apply fundamental concepts in Digital Signal Processing, Artificial Intelligence and Machine Learning to Visualize, Analyze and Process audio signals

ILO5: Analyze acoustic environments and Design soundscapes.

NO	RECOMMENDED TEXT
1	Ben Gold, Nelson Morgan, Dan Ellis, Speech and Audio Signal Processing: Processing and Perception of Speech and Music 2nd Edition, Wiley-Interscience, 2011
2	Meinard Müller, Fundamentals of Music Processing: Audio, Analysis, Algorithms, Applications, Springer, 2015
3	Francis F. Li and Trevor J. Cox, Digital Signal Processing in Audio and Acoustical Engineering, CRC Press, 2019
4	Robert A. Katz, Mastering Audio, The Art and the Science, Focal Press, 2014
5	Roey Izhaki, Mixing Audio: Concepts, Practices, and Tools, Routledge, 2017

TIME ALLOCATION	HOURS
Lectures	30
Tutorials	0
Assignments	6
Laboratories	24

ASSESMENT	PERCENTAGE
Assignments	30
Laboratory Work	-
MID Semester Evaluation	20
END Semester Exam	50