An ontology for audio features

Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016

Volumn , Issue , 2016, Pages 73-79

  Allik, Alo ^a   Fazekas, György ^a   Sandler, Mark ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; FEATURE EXTRACTION; INFORMATION RETRIEVAL;

AUDIO FEATURE EXTRACTION; COMMON STRUCTURES; COMPUTATIONAL WORKFLOWS; HIERARCHICAL STRUCTURES; MUSIC CREATION; PRODUCTION AND CONSUMPTION; REPRODUCIBILITIES; SEMANTIC WEB ONTOLOGIES;

ONTOLOGY;

EID: 85000779715     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. X. Amatriain, P. Arumi, and D. Garcia. Clam: A framework for efficient and rapid development of cross-platform audio applications. In proc. 14th ACM International Conference on Multimedia, pages 951–954, New York, USA, 2006.
2. S. Bechhofer, S. Dixon, G. Fazekas, T. Wilmering, and K. Page. Computational analysis of the live music archive. In proc. 15th International Conference on Music Information Retrieval (ISMIR), 2014.
3. D. Bogdanov, N. Wack, E. Gómez, S. Gulati, P. Herrera, O. Mayor, G. Roma, J. Salamon, J. Zapata, and X. Serra. Essentia: an audio analysis library for music information retrieval. In proc. 14th International Society for Music Information Retrieval Conference (ISMIR’13), pages 493–498, Curitiba, Brazil, 2013.
4. G. Fazekas, Y. Raimond, K. Jakobson, and M. Sandler. An overview of semantic web activities in the OMRAS2 project. Journal of New Music Research (JNMR), 39(4), 2010.
5. G. Fazekas and M. Sandler. The studio ontology framework. In proc. 12th International Society for Music Information Retrieval (ISMIR’11) conference, Miami, USA, 24-28 Oct., pages 24–28, 2011.
6. R. Fiebrink, G. Wang, and Perry R. Cook. Support for MIR prototyping and real-time applications in the chuck programming language. In proc. 9th International Conference on Music Information Retrieval, Philadelphia, PA, USA, September 14-18, 2008.
7. B. Fields, K. Page, D. De Roure, and T. Crawford. The segment ontology: Bridging music-generic and domain-specific. In proc. IEEE International Conference on Multimedia and Expo, Barcelona, Spain, 11-15 July, 2011.
8. E. J. Humphrey, J. Salamon, O. Nieto, J. Forsyth, R. Bittner, and J. P. Bello. JAMS: A JSON annotated music specification for reproducible MIR research. In 15th Int. Soc. for Music Info. Retrieval Conf., pages 591–596, Taipei, Taiwan, Oct. 2014.
9. K. Jacobson, Y. Raimond, and M. Sandler. An ecosystem for transparent music similarity in an open world. In Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009, Kobe, Japan, October 26-30, 2009.
10. M. Lanthaler and C. Gütl. On using JSON-LD to create evolvable restful services. In proc. 3rd International Workshop on RESTful Design at WWW’12, 2012.
11. B. Mathieu, B. Essid, T. Fillon, J. Prado, and G. Richard. YAAFE, an easy to use and efficient audio feature extraction software. In proc. 11th International Conference on Music Information Retrieval (ISMIR), Utrecht, Netherlands, August 9-13, 2010.
12. R. Mayer and A. Rauber. Towards time-resilient mir processes. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR), Porto, Portugal, October 8-12, 2012.
13. C. McKay and I. Fujinaga. Improving automatic music classification performance by extracting features from different types of data. In proc. of the International Conference on Multimedia Information Retrieval, pages 257–266, New York, USA, 2010.
14. D. Mitrovic, M. Zeppelzauer, and C. Breiteneder. Features for content-based audio retrieval. Advances in Computers, 78:71–150, 2010.
15. D Moffat, D Ronan, and J. D. Reiss. An evaluation of audio feature extraction toolboxes. In Proc. of the 18th Int. Conference on Digital Audio Effects (DAFx-15), Trondheim, Norway, 2015.
16. Meinard Müller and Sebastian Ewert. Chroma Toolbox: MATLAB implementations for extracting variants of chroma-based audio features. In proc. 12th International Society for Music Information Retrieval (ISMIR’11) conference, Miami, USA, 2011.
17. K. Page, B. Fields, B. Nagel, G. O’Neill, D. De Roure, and T. Crawford. Semantics for music analysis through linked data: How country is my country? In Proceedings of the 6th International Conference on e-Science, Brisbane, Australia, 7-10 Dec., 2010.
18. G. Peeters. A large set of audio features for sound description (similarity and classification) in the CUIDADO project. Tech. rep., IRCAM, 2004.
19. A. Porter, D. Bogdanov, R. Kaye, R. Tsukanov, and X. Serra. Acousticbrainz: a community platform for gathering music information obtained from audio. In proc. 16th International Society for Music Information Retrieval (ISMIR) Conference, 2015.
20. Y Raimond, S. Abdallah, M. Sandler, and F. Giasson. The music ontology. In Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007, Vienna, Austria, September 23-27, 2007.
21. Markus Schedl. The CoMIRVA Toolkit for Visualizing Music-Related Data. Technical report, Dept. of Computational Perception, Johannes Kepler Univ., 2006.
22. Florian Thalmann, Alfonso Perez Carillo, György Fazekas, Geraint A. Wiggins, and Mark Sandler. The mobile audio ontology: Experiencing dynamic music objects on mobile devices. In proc. 10th IEEE International Conference on Semantic Computing, Laguna Hills, CA, USA, 2016.
23. M. Vacura, V. Svátek, C. Saathoff, T. Ranz, and R. Troncy. Describing low-level image features using the COMM ontology. In proc. 15th International Conference on Image Processing (ICIP), San Diego, California, USA, pages 49–52, 2008.
24. K. West, A. Kumar, A. Shirk, G. Zhu, J. S. Downie, A. F. Ehmann, and M. Bay. The networked environment for music analysis (NEMA). In proc. 6th World Congress on Services, Miami, USA, July 5-10, 2010.