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Editorial: Introducing the Transactions of the International Society for Music Information Retrieval Cover

Editorial: Introducing the Transactions of the International Society for Music Information Retrieval

By: Simon Dixon,  Emilia Gómez and  Anja Volk  
Open Access
|Sep 2018

References

  1. 1Casey, M., Veltkamp, R., Goto, M., Leman, M., Rhodes, C., & Slaney, M. (2008). Content-based Music Information Retrieval: Current Directions and Future Challenges. Proceedings of the IEEE, 96(4), 668696. DOI: 10.1109/JPROC.2008.916370
  2. 2Collins, N., Manning, P., & Tarsitani, S. (2018). A New Curated Corpus of Historical Electronic Music. Transactions of the International Society for Music Information Retrieval, 1(1), 3455. DOI: 10.5334/tismir.5
  3. 3Dorfer, M., Hajiĉ, J., Jr., Arzt, A., Frostel, H., & Widmer, G. (2018). Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification. Transactions of the International Society for Music Information Retrieval, 1(1), 2233. DOI: 10.5334/tismir.12
  4. 4Downie, J. S. (2003). Music Information Retrieval. Annual Review of Information Science and Technology, 37(1), 295340. DOI: 10.1002/aris.1440370108
  5. 5Huang, Y., Chou, S., & Yang, Y. (2018). Pop Music Highlighter: Marking the Emotion Keypoints. Transactions of the International Society for Music Information Retrieval, 1(1), 6878. DOI: 10.5334/tismir.14
  6. 6Knees, P., & Schedl, M. (2016). Music Similarity and Retrieval: An Introduction to Audio- and Web-based Strategies. Springer: Berlin. DOI: 10.1007/978-3-662-49722-7
  7. 7Müller, M. (2007). Information Retrieval for Music and Motion. Springer: Berlin. DOI: 10.1007/978-3-540-74048-3
  8. 8Müller, M. (2015). Fundamentals of Music Processing: Audio, Analysis, Algorithms, Applications. Springer: Berlin. DOI: 10.1007/978-3-319-21945-5
  9. 9Oramas, S., Barbieri, F., Nieto, O., & Serra, X. (2018). Multimodal Deep Learning for Music Genre Classification. Transactions of the International Society for Music Information Retrieval, 1(1), 421. DOI: 10.5334/tismir.10
  10. 10Orio, N. (2006). Music Retrieval: A Tutorial and Review. Foundations and Trends® in Information Retrieval, 1(1), 190. DOI: 10.1561/1500000002
  11. 11Schedl, M., Gómez, E., & Urbano, J. (2014). Music Information Retrieval: Recent Developments and Applications. Foundations and Trends® in Information Retrieval, 8(2–3), 127261. DOI: 10.1561/1500000042
  12. 12Serra, X., Magas, M., Benetos, E., Chudy, M., Dixon, S., Flexer, A., Gómez, E., Gouyon, F., Herrera, P., Jordà, S., Paytuvi, O., Peeters, G., Schlüter, J., Vinet, H., & Widmer, G. (2013). Roadmap for Music Information Research. ISBN: 978-2-9540351-1-6.
  13. 13Six, J., Bressan, F., & Leman, M. (2018). A Case for Reproducibility in MIR: Replication of ‘A Highly Robust Audio Fngerprinting System’. Transactions of the International Society for Music Information Retrieval, 1(1), 5667. DOI: 10.5334/tismir.4
DOI: https://doi.org/10.5334/tismir.22 | Journal eISSN: 2514-3298
Language: English
Submitted on: Aug 14, 2018
Accepted on: Aug 14, 2018
Published on: Sep 4, 2018
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Simon Dixon, Emilia Gómez, Anja Volk, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.