Difference between revisions of "MIREX Impact Citations"

From MIREX Wiki
(Submitted Citations)
Line 25: Line 25:
 
# M. McVicar and T. De Bie, "Enhancing chord recognition accuracy using web resources", 3rd ACM Workshop on Machine Learning and Music, October 25, 2010, Firenze, Italy.
 
# M. McVicar and T. De Bie, "Enhancing chord recognition accuracy using web resources", 3rd ACM Workshop on Machine Learning and Music, October 25, 2010, Firenze, Italy.
 
# M. McVicar, Y. Ni, R. Santos-Rodriguez, T. De Bie, "Using online chord databases to enhance chord recognition", Journal of New Music Research, Special issue on Music and Machine Learning (in press).
 
# M. McVicar, Y. Ni, R. Santos-Rodriguez, T. De Bie, "Using online chord databases to enhance chord recognition", Journal of New Music Research, Special issue on Music and Machine Learning (in press).
 +
#R. Zhou , M. Mattavelli and G. Zoia, "Music Onset Detection Based on Resonator Time-frequency Image", IEEE Transactions On Audio, Speech And Language Processing, vol. 16, num. 8, 2008, p. 1685-1695.
 +
#Ruohua Zhou, Joshua D. Reiss, Marco Mattavelli and Giorgio Zoia, "A Computationally Efficient Method for Polyphonic Pitch Estimation", EURASIP Journal on Advances in Signal Processing, Volume 2009 (2009), Article ID 729494, 11 pages.

Revision as of 19:32, 4 May 2011

Introduction

Dear MIREX Participant:

We are gathering evidence of impact for MIREX. We would appreciate it greatly if you would post citations to papers (yours or others) that have used MIREX data and/or results. Any acceptable citation format is OK. DOIs or URL to accessible copies especially appreciated. I have started out with some samples from IMIRSEL.

In a similar vein, we are also gathering citations to MIREX-related comments as further evidence of impact for MIREX on the MIREX Impact Statements page.

We are collecting these statements and citations as evidence influence and success to submit to funding agencies, research administrators and/or future collaborators.

Thank you very much.

J. Stephen Downie
Director, IMIRSEL

Submitted Citations

  1. J.S. Downie, D. Byrd, and T. Crawford. "Ten Years of ISMIR: Reflections on Challenges and Opportunities", in the 10th International Symposium on Music Information Retrieval (ISMIR), Kobe, 2009, pp. 13-18. Available: http://ismir2009.ismir.net/proceedings/keynote1.pdf
  2. M. Bay, A.F. Ehmann and J.S. Downie, "Evaluation of Multiple-F0 Estimation and Tracking Systems", in the 10th International Symposium on Music Information Retrieval (ISMIR), Kobe, 2009, pp. 315-320. Available: http://ismir2009.ismir.net/proceedings/PS2-21.pdf
  3. E. Law, K. West, M. Mandel, M. Bay and, J. S. Downie, "Evaluation of Algorithms Using Games: The Case of Music Tagging", in the 10th International Symposium on Music Information Retrieval (ISMIR), Kobe, 2009, pp. 387-392. Available: http://ismir2009.ismir.net/proceedings/OS5-5.pdf
  4. J. S. Downie, M. Bay, A. F. Ehmann and M. C. Jones, "Audio Cover Song Identification: MIREX 2006-2007 Results and analysis", in the 9th International Conference on Music Information Retrieval (ISMIR 2008), Philadelphia, 2008, pp. 468-473. Available: http://ismir2008.ismir.net/papers/ISMIR2008_265.pdf
  5. X. Hu, J. S. Downie, C. Laurier, M. Bay and A. F. Ehmann, "The 2007 MIREX Audio Mood Classification Task: Lessons learned", in the 9th International Conference on Music Information Retrieval (ISMIR 2008), Philadelphia, 2008, pp. 462-467. Available: http://ismir2008.ismir.net/papers/ISMIR2008_263.pdf
  6. J. S. Downie, A. F. Ehmann and J. H. Lee, "The Music Information Retrieval Evaluation eXchange (MIREX): Community-led formal evaluations", in the Digital Humanities 2008 , Oulu Finland, 2008, pp. 239-240.
  7. M. McVicar and T. De Bie, "Exploiting Online Resources to Improve Chord Recognition Accuracy", late-breaking abstract in the 11th International Conference on Music Information Retrieval (ISMIR 2010), Utrecht, Netherlands, 2010.
  8. M. McVicar and T. De Bie, "Enhancing chord recognition accuracy using web resources", 3rd ACM Workshop on Machine Learning and Music, October 25, 2010, Firenze, Italy.
  9. M. McVicar, Y. Ni, R. Santos-Rodriguez, T. De Bie, "Using online chord databases to enhance chord recognition", Journal of New Music Research, Special issue on Music and Machine Learning (in press).
  10. R. Zhou , M. Mattavelli and G. Zoia, "Music Onset Detection Based on Resonator Time-frequency Image", IEEE Transactions On Audio, Speech And Language Processing, vol. 16, num. 8, 2008, p. 1685-1695.
  11. Ruohua Zhou, Joshua D. Reiss, Marco Mattavelli and Giorgio Zoia, "A Computationally Efficient Method for Polyphonic Pitch Estimation", EURASIP Journal on Advances in Signal Processing, Volume 2009 (2009), Article ID 729494, 11 pages.