An Approach for Structuring Sound Sample Libraries Using Ontology
Sound designers use big collections of sounds, recorded themselves or bought from commercial library providers. They have to navigate through thousands of sounds in order to find a sound pertinent for a task. Metadata management software is used, but all annotations are text-based and added by hand and there is still no widely accepted vocabulary of terms that can be used for annotations. This introduces several metadata issues that make the search process complex, such as ambiguity, synonymy and relativity. This paper addresses these problems with knowledge elicitation and sound design ontology engineering.
KeywordsOntology engineering Knowledge elicitation Sound design Metadata management Web ontology language
We would like to express our thanks to sound designers Ivan Osipenko (Saber Interactive, St. Petersburg, Russia) and Axel Rohrbach (BOOM Library, Mainz, Germany) for the provided interviews and discussions on the sound design and metadata topics. We also thank anonymous reviewers for providing valuable comments on our work.
This work has been partially financially supported by the Government of Russian Federation, Grant #074-U01.
This work was conducted using the Protégé resource, which is supported by grant GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes of Health.
- 1.Farnell, A.: Designing Sound. MIT Press, Cambridge (2010)Google Scholar
- 4.Torres, D., Turnbull, D., Barrington, L., Lanckriet, G.: Identifying words that are musically meaningful, pp. 1–6 (2007)Google Scholar
- 5.Bernays, M., Traube, C.: Verbal expression of piano timbre: multidimensional semantic space of adjectival descriptors. In: Williamon, A., Edwards, D., Bartel, L. (eds.) International Symposium on Performance Science. Association Europenne des Conservatoires, Acadmies de Musique et Musikhochschulen (AEC) (2011)Google Scholar
- 6.Zacharakis, A., Pastiadis, K., Reiss, J.D., Papadelis, G.: Analysis of musical timbre semantics through metric and non-metric data reduction techniques. In: Proceedings of the 12th International Conference on Music Perception and Cognition (ICMPC12) and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM 08), pp. 1177–1182 (2012)Google Scholar
- 7.Stepnek, J.: Musical sound timbre: verbal description and dimensions. In: Proceedings of the 9th International Conference on Digital Audio Effects (DAFx-06), pp. 121–126. Citeseer (2006)Google Scholar
- 9.Nakatani, T., Okuno, H.G.: Sound ontology for computational auditory scene analysis. In: Proceeding for the 1998 Conference of the American Association for Artificial Intelligence (1998)Google Scholar
- 10.Hatala, M., Kalantari, L., Wakkary, R., Newby, K.: Ontology and rule based retrieval of sound objects in augmented audio reality system for museum visitors. In: Proceedings of the 2004 ACM Symposium on Applied Computing, pp. 1045–1050. ACM (2004)Google Scholar
- 12.Lee, W., Bailer, W., Bürger, T., Champin, P., Malaisé, V., Michel, T., Sasaki, F., Söderberg, J., Stegmaier, F., Strassner, J.:Ontology for media resources 1.0. W3C recommendation. World Wide Web Consortium (2012)Google Scholar
- 13.Raimond, Y., Abdallah, S.A., Sandler, M.B., Giasson, F.: The music ontology. In: ISMIR, vol. 422. Citeseer (2007)Google Scholar
- 15.Cipriani, A., Giri, M.: Electronic Music and Sound Design - Theory and Practice with Max 7, vol. 1, 3rd edn. Contemponet, Rome (2016)Google Scholar
- 16.Viers, R.: The Sound Effects Bible: How to Create and Record Hollywood Style Sound Effects. Michael Wiese Productions, Studio City (2008)Google Scholar
- 17.Creswell, J.W.: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 4th edn. Sage Publications Ltd., Los Angeles (2013)Google Scholar
- 18.Cherny, E., Lilius, J., Brusila, J., Mouromtsev, D., Rogozinsky, G.: A sound ontology for the paper “An approach for structuring sound sample libraries using ontology”, July 2016. http://dx.doi.org/10.5281/zenodo.56833