Uncover the hidden structures in audio signals
Project Description
Human is very good at uncover hidden structures in the sound that we hear. This project will explore the use of dimensional reduction algorithms to classify time series audio signals into different types of audio data.
Supervisor
SO Richard Hau Yue
Quota
2
Course type
UROP1100
UROP2100
Applicant's Roles
The selected candidate is expected to embark into a journey of mathematics and simulation. He or she should be interested in Maths and be able to master Matlab and R.
Applicant's Learning Objectives
- acquire and practice the ability to analyze and compare different dimension reduction techniques through self-learning
Complexity of the project
Challenging