0 or 3 credits
Spring 2025 Lecture Laboratory Upper Division
This course introduces topics on acoustics and audio features/elements from hardware and/or software perspectives. Topics covered include the preparation and augmentation of audio data and designing, implementing, and evaluating the audio data using AI machine learning. This course also investigates electro-acoustic applications, their hardware element details, and their contributions to the system. This will pave students' understanding of the state-of-the-art technology in the acoustic and audio engineering technology field.
Learning Outcomes1Define sound features that are both speaker-independent and -dependent.
2Analyze acoustic/audio signals using AI machine learning.
3Investigate electro-acoustic transducers and applications.
4Review and evaluate acoustics/audio-related state-of-arts technology.
Prerequisites
Attachments
made by Purdue students.