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
0
Course type
UROP1100
UROP2100
Applicant's Roles

The selected candidate is embark into a journal 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