Spectral Size Does Matter
dc.contributor.author | Engeln, Lars | |
dc.contributor.author | Groh, Rainer | |
dc.date.accessioned | 2019-09-05T01:06:40Z | |
dc.date.available | 2019-09-05T01:06:40Z | |
dc.date.issued | 2019 | |
dc.description.abstract | Nowadays 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.doi | 10.18420/muc2019-ws-582 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/25213 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Mensch und Computer 2019 - Workshopband | |
dc.relation.ispartofseries | Mensch und Computer | |
dc.subject | spectral editing | |
dc.subject | visual audio | |
dc.title | Spectral Size Does Matter | en |
dc.type | Text/Workshop Paper | |
gi.citation.publisherPlace | Bonn | |
gi.conference.date | 8.-11. September 2019 | |
gi.conference.location | Hamburg | |
gi.conference.sessiontitle | MCI-WS23: Innovative Computerbasierte Musikinterfaces (ICMI) | |
gi.document.quality | digidoc |
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