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Directional Segmentation of Stereo Audio via Best Basis Search of Complex Wavelet Packets

A system for dividing time-coincident stereo audio signals into directional segments is presented. The purpose is to give greater flexibility in the presentation of spatial information when two-channel audio is reproduced. For example, different inter-channel time shifts could be introduced for segments depending on their direction. A novel aspect of this work is the use of complex wavelet packet analysis, along with ‘best basis’ selection, in an attempt to identify time-frequency atoms which belong to only one segment. The system is described, with reference to the relevant underlying theory and the quality of its output for the best bases from complex wavelet packets is compared with methods based on more established analysis and processing methods.

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