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CC BY-NC-ND V3.0, Open Access
Dataset
Track 03: Pianatomy: cloudrifts
Southern Cross University
2016
DOI:
https://doi.org/10.4226/47/5806aba0e5c5f
Metrics
1 File views/ downloads
83 Record Views
Abstract
<p>As well as producing a wide range of sounds, the piano is an object of natural graphic appeal, displaying qualities such as symmetry, and repetition with variation - universal design principles underlying composition in any medium. In this series, the piano has been sampled both aurally and visually.</p>
<p>This is the third sound track in a series of sound files produced as part of PhD thesis, titled 'Intermedia Frottage: visual representation of music & aural representation of image'.</p>
<p>In this track source images and sounds have been recomposed and layered in a temporally freer approach with cloud images, a frottage enhancement invoked by the high-drifting piano melodies.</p>
<p>The sound files are in a compressed format, and the full fidelity audio CD is available for loan with the exegesis from Southern Cross University Library (or from the creator). Similarly, the imagery is not available on the website collection, but a DVD or imagery is also available for loan with the exegesis from Southern Cross University Library (or from the creator).</p>
<p>With the use of graphic synthesis software, the composer can draw sounds directly on the sound canvas. This means that sounds can be <em>written to </em>as well as <em>read from</em> the image.The image takes on the role of a graphic score, from which multiple readings, or interpretations are possible.</p>
<p>Data Processing: Processing and analysis through Metasynth (U&I Software); Corel Photo-Paint; Spectrogram (Visualization Software LLC); Phonogramme (V. Lesbros)</p>
Details
- Title
- Track 03: Pianatomy: cloudrifts
- Creators
- Melissa Carey (Chief Investigator) - Southern Cross University
- Publisher
- Southern Cross University
- Identifiers
- 1012; 991012820761502368
- Academic Unit
- Office of Senior Deputy Vice Chancellor, Research; Southern Cross University
- Language
- English
- Resource Type
- Dataset