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Spectral Size Does Matter

dc.contributor.authorEngeln, Lars
dc.contributor.authorGroh, Rainer
dc.date.accessioned2019-09-05T01:06:40Z
dc.date.available2019-09-05T01:06:40Z
dc.date.issued2019
dc.description.abstractNowadays spectrograms are often used for the analysis of audio signals. Usually, process and analysis tools are separated. Although manipulations within the visualization of the analysis results are more understandable. Spectral editing does directly manipulate the frequency-domain within a spectrogram. Here, affine transformations especially scaling is highlighted for the creative use in spectral editing.en
dc.identifier.doi10.18420/muc2019-ws-582
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25213
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2019 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectspectral editing
dc.subjectvisual audio
dc.titleSpectral Size Does Matteren
dc.typeText/Workshop Paper
gi.citation.publisherPlaceBonn
gi.conference.date8.-11. September 2019
gi.conference.locationHamburg
gi.conference.sessiontitleMCI-WS23: Innovative Computerbasierte Musikinterfaces (ICMI)
gi.document.qualitydigidoc

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