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 domain, from which source separation and resynthesis is carried out. We present results obtained from real recordings, and show that for musical recordings, the algorithm improves upon the output quality of current source separation schemes.

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A framework is presented which is designed to address the issues related to the real-time implementation of time-scale and pitchscale modification algorithms. This framework can be used as the basis for the developments of applications which allow for a seamless real-time transition between continually varying timescale and pitch-scale parameters which arise as a result of manual or automatic intervention.

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