Published online by Cambridge University Press: 06 July 2010
A comparison is made between two systems of real-time sample selection using timbral proximity that has relevance for live performance. Sound files in large sample libraries are analysed for audio features (amplitude RMS, spectral centroid, spectral flatness, and spectral energy using a Bark auditory modeller), and this data is statistically analysed and stored. Two methods of organisation are described: the first uses fuzzy logic to rate sample similarity, the second uses a self-organising map. The benefits and detriments of each method are described.
This research was funded by a grant from the Social Science and Humanities Research Council of Canada.