Sound Source Separation: Azimuth Discrimination and Resynthesis
Dan Barry, Bob Lawlor, Eugene D. Coyle · Maynooth University ePrints and eTheses Archive (Maynooth University) · 2004
In this paper we present a novel sound source separation algorithm which requires no prior knowledge, no learning, assisted or otherwise, and performs the task of separation based purely on azimuth discrimination within the stereo field. The algorithm exploits the use of the “pan pot ” as a means to achieve image localisation within stereophonic recordings. As such, only an interaural intensity difference exists between left and right channels for a single source. We use gain scaling and phase cancellation techniques to expose frequency dependent nulls across the azimuth do-main, from which source separation and resynthesis is carried out. We present results obtained from real re-cordings, and show that for musical recordings, the algo-rithm improves upon the output quality of current source separation schemes. 1.