Towards a Cognitively Informed Music Knowledge Base

Music Information Retrieval is a burgeoning area of industry that assists consumers in retrieving information from increasingly large databases of music. waveDNA is an Ontario-based music software development company focused on building upon its proprietary algorithms for digital music representation and analysis in ways that make unique contributions to this field. The aim of the proposed research project, involving a collaboration between the postdoctoral fellow (Naresh Vempala) at Ryerson's SMART lab and the partner company waveDNA, is to develop a cognitively-based analysis engine. Such an engine would yield judgments of musical similarity that are in accord with human judgments. The originality of this research lies in its combination of cognitive methods of validation with music information retrieval software. This presents an opportunity for waveDNA's software to significantly advance the state-of-the-art within the music information retrieval community.

Faculty Supervisor:

Dr. Frank A. Russo

Student:

Naresh Vempala

Partner:

WaveDNA

Discipline:

Psychology

Sector:

Information and communications technologies

University:

Ryerson University