Overview
Topic status: In progress
Overview
Music, or Sound in general, can be tagged automatically using computer software or manually by people such as social tagging (user generated keywords). Audio tags can be used in many different applications: database management, music recommendation, human-computer interface design, similarity estimation among songs/sounds, and so on. This project will investigate related techniques for tagging sound recordings automatically.
Research Activities
This project involves gathering related literature, reading and critically analysing current literature and prepare a comprehensive literature review in publishable format. It will also involve some coding for proof-of-concept of an existing or innovative idea.
Expected Outcomes
The expected outcomes for this student topic are:
- a 20 page comprehensive literature review for the state-of-the-art of automatic sound tagging techniques
- a demo for a chosen idea.
Duration of project
8-10 weeks during summer semester
- Study level
- Vacation research experience scholarship
- Supervisors
- QUT
- Organisational unit
Science and Engineering Faculty
- Research area
- Contact
- Please contact the supervisor for enquiries.
Dr Jinglan Zhang
