ABSTRACT
This paper explores the potential benefits of using similarity-based two-dimensional classifications and their corresponding GUIs, for drum samples retrieval in a creativity-oriented context. Preliminary user studies with professional electronic music producers point up the frustration and laboriousness of finding suitable drum samples in the increasingly large libraries of sounds available, and suggest the need for alternative interfaces and approaches. To address this issue, two novel spatial visualizations (respectively organized by name and by timbre-similarity) are designed as potential alternatives to the traditional 1D list-based browsers. These visualizations are implemented and compared in a music creation task, in terms of both the exploration experience and the resulting production quality, within a system for drum kit configuration. Our study shows that spatial visualizations do improve the overall exploration experience, and reveals the potential of similarity-based arrangements for the support of creative processes.
- Andersen, K. et al. 2015. "Update on Qualitative and Quantitative Methodological Frameworks". Deliverable 2.3, GiantSteps FP7--610591. Retrieved from: http://assets.contentful.com/xrzr1u3na612/5lpsdiQKuQoOKEWwgmiQSK/04b084584af567aa04b696ee00365db7/GiantSteps_D2.3_WP2_2015_30June_STEIM_v1.0.pdf.Google Scholar
- Bogdanov, D. et al. 2013. Essentia: an open-source library for sound and music analysis. Proceedings of the 21st ACM international conference on Multimedia (2013, October), 855--858. Google ScholarDigital Library
- Csikszentmihalyi, M. 1997. Flow and the Psychology of Discovery and Invention. HarperPerennial,New York, 39.Google Scholar
- Finke, R. et al. 1992. Creative cognition. MIT Press.Google Scholar
- Fried, O. et al. 2014. AudioQuilt: 2D Arrangements of Audio Samples using Metric Learning and Kernelized Sorting.Google Scholar
- Grey, J. 1977. Multidimensional perceptual scaling of musical timbres. The Journal of the Acoustical Society of America. 61, 5 (1977), 1270.Google ScholarCross Ref
- Guilford, J. 1967. Creativity: Yesterday, today and tomorrow. The Journal of Creative Behavior, 1(1), 3--14.Google ScholarCross Ref
- Krumhansl, Carol L. 1989. Why is musical timbre so hard to understand. Structure and perception of electroacoustic sound and music. 9: 43--53.Google Scholar
- Peeters, G. et al. 2011. The timbre toolbox: Extracting audio descriptors from musical signals. The Journal of the Acoustical Society of America, 130(5), 2902--2916.Google ScholarCross Ref
- Perry, S. 1999. Writing in flow: Keys to enhanced creativity. Writers Digest Books.Google Scholar
- Robertson, G. et al. 1998. Data Mountain: using spatial memory for document management. Proceedings of the 11th annual ACM symposium on User interface software and technology (1998), 153--162. Google ScholarDigital Library
- Shneiderman, B. et al. 2006. Creativity support tools: Report from a US National Science Foundation sponsored workshop. International Journal of Human-Computer Interaction, 20(2), 61--77.Google ScholarCross Ref
- Stein, M. 1953. Creativity and culture. The journal of psychology, 36(2), 311--322.Google Scholar
- Van der Maaten, L., & Hinton, G. 2008. Visualizing data using t-SNE. Journal of Machine Learning Research 9, (2008), 2579--2605.Google Scholar
Index Terms
- Exploring the Benefits of 2D Visualizations for Drum Samples Retrieval
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