Linkage Projects - Grant ID: LP150100487

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP150100487

Funding Status
Closed

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

Developing a personalised Music Affect Recommender System. The project aims to develop a personalised music recommender system using perceived tone quality, affect and liking. Recommender systems using prior verbal annotations and ratings are common (Amazon) but inappropriate for less popular music by unfamiliar artists, which lacks social use data. The project intends to build on work into perception of musical affect and its relation to loudness and tone quality; and the automation of the organisation of digital libraries both by labels and acoustic content. Developing this, the project seeks to create a model that gives recommendations which accounts for an individual's preferences based on acoustic content, affect and liking. The system will be designed to update rapidly and to encourage exploration of familiar and unfamiliar music.

Funded Activity Details

Start Date: 12-01-2016

End Date: 31-12-2021

Funding Scheme: Linkage Projects

Funding Amount: $243,727.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Retrieval and Web Search | Music Composition | Performing Arts and Creative Writing | Knowledge Representation and Machine Learning

ANZSRC Socio-Economic Objective (SEO)

Recreation | Communication Across Languages and Culture | Music |

Other Keywords

Communication Across Languages and Culture | Information Retrieval and Web Search | Knowledge Representation and Machine Learning | Music | Music Composition | Performing Arts and Creative Writing | Recreation

Related Links