Admissions

EE599: Audio Engineering and Acoustics

EE599

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
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