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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Improving Audio Information Visualization by Showing Melodic Content
verfasst von : Marcelo Cicconet, Paulo Cezar Carvalho
Erschienen in: Computer Vision, Imaging and Computer Graphics. Theory and Applications
Verlag: Springer Berlin Heidelberg
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The waveform of an audio file is the most employed representation of a song, being widely used in audio and video editors. However, besides the energy envelope, little information is provided. In this work we introduce a visual representation which, while resembling the waveform, takes into account the melodic content of the audio, thus allowing the user to visually segment and find patterns in the media more easily. We report experiments where it is shown that, in fact, more segmentation points can be found.