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 orga ....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.Read moreRead less
Predictive Assessment Tool for Beach Conditions Using Video Imaging and Neural Network Analysis. Beaches are vital part of Australian lifestyle and economic development. Monitoring of variable beach conditions is vital for beach safety and for management of storm erosion. The aim of this project is to develop an assessment tool which will permit a rating system of beach conditions both from an environmental as well as a leisure aspect. This tool will be developed into a software analysis system ....Predictive Assessment Tool for Beach Conditions Using Video Imaging and Neural Network Analysis. Beaches are vital part of Australian lifestyle and economic development. Monitoring of variable beach conditions is vital for beach safety and for management of storm erosion. The aim of this project is to develop an assessment tool which will permit a rating system of beach conditions both from an environmental as well as a leisure aspect. This tool will be developed into a software analysis system which will include components of artificial intelligence to enable the system to use feedback loops to create a better prediction of the beach morphology relative to the breaking wave characteristics.Read moreRead less