Materials

Documents

  • D4.6 Release of tool for the manual annotation of musical content, September 2017. Download here. License: CC-BY 4.0.
  • D5.3 Evaluation report on the first prototypes of the timbral characterisation tools, July 2017. Download here. License: CC-BY 4.0.
  • D4.5 Evaluation report on the first prototype tool for the automatic semantic description of music pieces, July 2017. Download here. License: CC-BY 4.0.
  • D4.4 Evaluation report on the first prototype tool for the automatic semantic description of music samples, July 2017. Download here. License: CC-BY 4.0.
  • D3.4 Report on business models emerging from the ACE, July 2017. Download here. License: CC-BY 4.0.
  • D2.3 Final Ontology Specification, July 2017. Download here. License: CC-BY 4.0.
  • D1.3 Second Draft Data Management Plan, July 2017. Download here. License: CC-BY 4.0.
  • D5.2 First prototype of timbral characterisation tool for semantically annotating non-musical content, May 2017. Download here. License: CC-BY 4.0.
  • D4.3 First prototype tool for the automatic semantic description of music pieces, May 2017. Download here. License: CC-BY 4.0.
  • D4.2 First prototype tool for the automatic semantic description of music samples, May 2017. Download here. License: CC-BY 4.0.
  • D3.3 Guidelines for including new actors in the ACE, May 2017. Download here. License: CC-BY 4.0.
  • D2.6 Service integration draft guidelines, May 2017. Download here. License: CC-BY 4.0.
  • D2.5 Service integration technologies, May 2017. Download here. License: CC-BY 4.0.
  • D2.4 API specification, May 2017. Download here. License: CC-BY 4.0.
  • Deliverable D7.3: Dissemination Plan, January 2017. Download here. License: CC-BY 4.0.
  • Deliverable D3.2: Report on usage of Creative Commons licenses, November 2016. Download here. License: CC-BY 4.0.
  • Deliverable D2.2: Draft Ontology Specification, November 2016. Download here. License: CC-BY 4.0.
  • Deliverable D5.1: Hierarchical ontology of timbral semantic descriptors, August 2016. Download here. License: CC-BY 4.0.
  • Deliverable D4.1: Report on the analysis and compilation of state-of-the-art methods for the automatic annotation of music pieces and music samples, July 2016. Download here. License: CC-BY 4.0.
  • Deliverable D3.1: Report on Rights Management requirements, July 2016. Download here. License: CC-BY 4.0.
  • Deliverable D1.2: Draft Data Management Plan, July 2016. Download here. License: CC-BY 4.0.
  • Deliverable D2.1: Requirements Report and Use Cases, June 2016. Download here. License: CC-BY 4.0.
  • Deliverable D7.2: Visual Identity of Audio Commons, April 2016. Download here. License: CC-BY 4.0.
  • Deliverable D7.1: Project Website, April 2016. Download here. License: CC-BY 4.0.
  • Deliverable D1.1: Project Handbook and Quality Plan, April 2016. Download here. License: CC-BY 4.0.

Papers

  • Pearce, A., Brookes, T., Mason, R. (2017). Timbral Attributes for Sound Effect Library Searching, published in "AES International Conference on Semantic Audio". Download the full text here. License: AES E-Library Open Access.
  • Kevin R. Page, Sean Bechhofer, Gyorgy Fazekas, David M. Weigl, Thomas Wilmering (2017). Realising a Layered Digital Library: Exploration and Analysis of the Live Music Archive through Linked Data, published in "2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL)". Publisher's paper link.
  • Choi, K., Fazekas, G., Sandler, M., Cho, K. (2017). Convolutional Recurrent Neural Networks for Music Classification, published in "Proceedings of the 42nd IEEE International Conference on Acoustics". Publisher's paper link.
  • Choi, K., Fazekas, G., Sandler, M., Cho, K. (2017). Transfer Learning for Music Classification and Regression Tasks, published in "Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)". Publisher's paper link.
  • Pauwels, J., Fazekas, G., Sandler, M. (2017). Exploring Confidence Measures and Their Application in Music Labelling Systems Based on Hidden Markov Models, published in "Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)".
  • Porter, A., Bogdanov, D., Serra, X. (2016). Mining metadata from the web for AcousticBrainz, published in "3rd International Digital Libraries for Musicology workshop". Download the full text here. License: TBD.
  • Font, F., Serra, X. (2016). Tempo Estimation for Music Loops and a Simple Confidence Measure, published in "Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)". Download the full text here. License: CC-BY 4.0.
  • Bogdanov, D., Porter, A., Herrera, P., Serra, X. (2016). Cross-collection evaluation for music classification tasks, published in "Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)". Download the full text here. License: CC-BY 4.0.
  • Font, F., Brookes, T., Fazekas, G., Guerber, M., La Burthe, A., Plans, A., Plumbley, M. D., Shaashua, M., Wang, W., Serra, X. (2016). Audio Commons: bringing Creative Commons audio content to the creative industries, published in "61st AES Conference on Audio for Games". Download the pre-print here. Publisher's paper link.
  • Thomas Wilmering, Gyorgy Fazekas, Mark B. Sandler (2016). AUFX-O: Novel Methods for the Representation of Audio Processing Workflows, published in "Proceedings of the 15th International Semantic Web Conference (ISWC 2016) - Lecture Notes in Computer Science". Publisher's paper link.
  • Damir Juric, Gyorgy Fazekas (2016). Knowledge Extraction from Audio Content Service Providers’ API Descriptions, published in "Proceedings of the 10th International Conference on Metadata and Semantics Research (MTSR)". Publisher's paper link.
  • Choi, K., Fazekas, G., Sandler, M. (2016). Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions, published in "Workshop on Surprise". Publisher's paper link.
  • Buccoli, M., Zanoni, M., Fazekas, G., Sarti A., Sandler, M. (2016). A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging, published in "Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)". Download the full text here.
  • Alo Allik, Gyorgy Fazekas, Mark Sandler (2016). Ontological Representation of Audio Features, published in "Proceedings of the 15th International Semantic Web Conference (ISWC 2016) - Lecture Notes in Computer Science". Publisher's paper link.
  • Allik, A., Fazekas, G., Sandler, M. (2016). An Ontology for Audio Features, published in "Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)". Download the full text here.
  • Choi, K., Fazekas, G., Sandler, M. (2016). Automatic Tagging Using Deep Convolutional Neural Networks, published in "Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)". Publisher's paper link.
  • Font, F., Serra, X. (2015). The Audio Commons Initiative, published in "International Society for Music Information Retrieval Conference (ISMIR, late-breaking demo)". Download the full text here. License: CC-BY 4.0.

Other

  • Audio Commons Ontology repository, July 2017. Check out the code repository here. Repository containing the specification of the Audio Commons Ontology in machine readable formats.
  • Audio Commons generic presentation slides, February 2016. Download here. License: CC0.
  • Audio Commons web site source code repository, February 2016. Check out the code repository here. License: GNU General Public License 3.0.
  • Logo and visual identity code repository, February 2016. Check out the code repository here. You'll find exports of the logo in different formats as well as vector source files, fonts and guidelines. License: CC0.
  • Audio Commons logos, February 2016. Download here. Audio Commons logo and icon in horizontal and vertical layouts and in png and svg formats. License: CC0.