User Assisted Source Separation Using Non-negative Matrix Factorisation
Derry Fitzgerald · Arrow@dit (Dublin Institute of Technology) · 2011
Much research has been carried out on the use of non-negative matrix factorisation for the purpose of musical sound source separation. However, a notable shortcoming of non-negative matrix factorisation is that the recovered basis functions have to be clustered to sound sources for separation to take place. This has proved to be a difficult problem to solve. As a means of overcoming this problem, we introduce an extension to non-negative matrix factorisation which allows a user to guide the sepa- ration by singing, or playing along with, the source they want to separate. This is done through the use of gamma-chain priors. Examples of user assisted separation are also presented