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Semi-Automatic Mono to Stereo Up-Mixing Using Sound Source Formation
In this paper, we propose an original method to include spatial panning information when converting monophonic recordings to stereophonic ones. Sound sources are first identified using perceptively motivated clustering of spectral components. Correlations between these individual sources are then identified to build a middle level representation of the analysed sound. This allows the user to define panning information for major sound sources thus enhancing the stereophonic immersion quality of the resulting sound.
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