MIREX Impact Statements

2011-05-09T21:01:12Z

Evincent: /* Impact Statements */

=Introduction=

Dear MIR Community:

We are gathering evidence of impact for MIREX. We would appreciate it greatly if you would post comments about how MIREX has impacted or influenced your work directly or MIR research in general.

In a similar vein, we are also gathering citations to MIREX-related papers as further evidence of impact for MIREX on the [[MIREX Impact Citations]] 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<br>
Director, IMIRSEL<br>

=Impact Statements=

I am a researcher in audio signal processing. Although music information retrieval is not my main focus, I have been following the MIREX campaigns from the very beginning as one of the most exciting initiatives in the field. What makes MIREX unique is the attention made to the specification of the datasets and the evaluation procedures by the entrants themselves. I soon realized that this is the best way to attract a large number of entrants and evaluate tasks that people really care about. Inspired by this view, I founded an annual evaluation campaign relating to my main focus (audio source separation), which has attracted more than 80 entrants in total and changed the view of the problem. See E. Vincent, S. Araki et al., "The Signal Separation Evaluation Campaign (2007-2010): Achievements and Remaining Challenges", Technical Report no. RR-7581, INRIA, 2011 [http://hal.inria.fr/inria-00579398/PDF/RR-7581.pdf]. The funding application made by IMIRSEL aims to explore business models for MIREX and result in the creation of a sustainable MIREX model. This issue is also crucial for SiSEC and other medium-scale campaigns which cannot benefit from a large-scale organization such as TREC. IMIRSEL has already paved the way via their online DIY-system. I have no doubt that the provided funding will enable them to provide a conclusive answer this issue, which will be mostly reusable in SiSEC and other campaigns.
Emmanuel Vincent, Research Scientist, INRIA, France.

MIREX Impact Citations

2011-05-09T20:29:29Z

Evincent:

=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<br>
Director, IMIRSEL<br>

=Submitted Citations=

# 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
# 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
# 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
# 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
# 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
# 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.
# 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.
# 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).
#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.
# M. Haro and P. Herrera, “From Low-level to Song-level Percussion Descriptors of Polyphonic Music,” in 10th International Society for Music Information Retrieval Conference (ISMIR 2009), Kobe, Japan, 2009. Available: http://ismir2009.ismir.net/proceedings/PS2-9.pdf
# J. Urbano, J. Morato, M. Marrero and D. Martín, "Crowdsourcing Preference Judgments for Evaluation of Music Similarity Tasks", ACM SIGIR Workshop on Crowdsourcing for Search Evaluation, pp. 9-16, 2010. [http://julian-urbano.info/publications/012-crowdsourcing-preference-judgments-evaluation-music-similarity-tasks/012-paper.pdf PDF]
# J. Urbano, M. Marrero, D. Martín and J. Lloréns, "Improving the Generation of Ground Truths based on Partially Ordered Lists", International Society for Music Information Retrieval Conference, pp. 285-290, 2010. [http://julian-urbano.info/publications/010-improving-generation-ground-truths-based-partially-ordered-lists/010-paper.pdf PDF]
# J. Urbano, J. Lloréns, J. Morato and S. Sánchez-Cuadrado, "Using the Shape of Music to Compute the Similarity between Symbolic Musical Pieces", International Symposium on Computer Music Modeling and Retrieval, pp. 385-396, 2010. [http://julian-urbano.info/publications/009-using-shape-music-compute-similarity-between-symbolic-musical-pieces/009-paper.pdf PDF]
# D. Bogdanov, J. Serrà, N. Wack, P. Herrera and X. Serra. Unifying low-level and high-level music similarity measures. IEEE Transactions on Multimedia. In press. [http://mtg.upf.edu/node/1689]
# J. Wu, E. Vincent, S. Raczynski, T. Nishimoto, N. Ono and S. Sagayama. Multipitch estimation by joint modeling of harmonic and transient sounds. In Proc. 2011 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), to appear. [http://hal.inria.fr/inria-00567175/PDF/wu_ICASSP11.pdf]
# E. Vincent, N. Bertin and R. Badeau. Adaptive harmonic spectral decomposition for multiple pitch estimation. IEEE Transactions on Audio, Speech and Language Processing, 18(3), pp. 528-537, 2010. [http://hal.inria.fr/inria-00544094/PDF/vincent_TASLP10.pdf]

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MIREX Impact Statements

MIREX Impact Citations