Model-based approach to separating instrumental music from single track recordings

The objective of audio source separation is to separate sound mixtures into individual streams based on the sources. It has many potential applications, one of which is in a system for perceptually-based search and retrieval of audio data from multimedia databases. The task of audio source separation is very difficult if all audio data are mixed into a single track. In this paper, we restrict the single track recordings to instrumental music. Hence, we attempt to construct separate streams of data each consisting of the sound of a single instrument. A model-based approach is used. The architecture of the system is based on a cerebellar-based (CMAC) fuzzy neural network. The subjective test results of our experiments on the separation of 2-source audio mixtures show that our approach is promising.