Disch S, Edler B (2009)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2009
Publisher: DAFx-09
Edited Volumes: 12th International Conference on Digital Audio Effects
City/Town: Como, Italy
Pages Range: 65-70
Modern music production and sound generation often relies on manipulation of pre-recorded pieces of audio, so-called samples, taken from a huge database. Consequently, there is a increasing request to extensively adapt these samples to any new musical context in a flexible way. For this purpose, advanced digital signal processing is needed in order to realize audio effects like pitch shifting, time stretching or harmonization. Often, a key part of these processing methods is a signal adaptive, block based spectral segmentation operation. Hence, we propose a novel algorithm for such a spectral segmentation based on local centers of gravity (COG). The method was originally developed as part of a multiband modulation decomposition for audio signals. Nevertheless, this algorithm can also be used in the more general context of improved vocoder related applications.
APA:
Disch, S., & Edler, B. (2009). An iterative segmentation algorithm for audio signal spectra depending on estimated local centers of gravity. In 12th International Conference on Digital Audio Effects. (pp. 65-70). Como, Italy: DAFx-09.
MLA:
Disch, Sascha, and Bernd Edler. "An iterative segmentation algorithm for audio signal spectra depending on estimated local centers of gravity." 12th International Conference on Digital Audio Effects. Como, Italy: DAFx-09, 2009. 65-70.
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