The aim of the project is to work on different aspects of content-based music processing. The project will study and develop tools for musical content extraction, modeling, and processing. Specifically, we will investigate the use of artificial intelligence techniques, such as case-based reasoning, for content-based melody processing.

This project will study and develop a support tool for musical recording manipulation with the goal of enhancing sound and musical qualities in professional sound post production. Specifically, the project will address the description of musical attributes, music database storage and retrieval of those descriptions, and sound transformation based on descriptions using physical attributes (e.g. pitch), perceptual attributes (e.g. brightness), and musical knowledge (e.g. tension).

The components used for sound content analysis and description, as well as the components for physical manipulation of sound, are based on spectral modelling analysis and synthesis techniques. Moreover, the descriptions to be used will be compatible as far as possible with the future MPEG-7 standard for multimedia content description. The transformation components will use both case-based reasoning techniques and modelling of musical knowledge.