Participation to ISMIR 2011
Participation to ISMIR 2011
21.10.2011
Joan Serrà, Gopal Koduri, Ferdinand Fuhrmann, Dmitry Bogdanov and Xavier Serra participate at the 12th International Society for Music Information Retrieval Conference that takes place in Miami, Florida (USA) on October 24–28, 2011. MTGs participation includes 2 oral presentations, 3 posters, 3 demos, 1 tutorial and 4 successful entries to MIREX.
Oral Presentations:
- J. Serrà, G. K. Koduri, M. Miron and X. Serra: "Assessing the tuning of sung Indian classical music"
- X. Serra: "A Multicultural Approach in Music Information Research"
Poster Presentations:
- G. K. Koduri, M. Miron, J. Serrà and X. Serra: "Computational approaches for the understanding of melody in Carnatic music"
- D. Bogdanov and P. Herrera: "How much metadata do we need in music recommendation? A subjective evaluation using preference sets"
- F. Fuhrmann and P. Herrera: "Quantifying the relevance of locally extracted information for musical instrument recognition from entire pieces of music"
Demos:
- V. Akkermans, F. Font, J. Funollet, B. de Jong, G. Roma, S. Togias, and X. Serra: "Freesound 2: An Improved Platform for Sharing Audio Clips"
- O. Mayor, J. Llop and E. Maestre: "REPOVIZZ: A Multimodal On-line Database and Browsing Tool for Music Performance Research"
- A. Mostafavi, C. Laurier, P. Herrera and Z. Ras: "Tailored Tagger: A Personalized, Adaptive Music Tagging System"
Tutorial:
- M. Muller and J. Serrà: "Audio Content-based Music Retrieval"
MIREX:
- J. Zapata and E. Gómez: Combination of Audio Tempo Estimation Approaches (ZG1)
- J. Salamon and E. Gómez: Melody Extraction from Polyphonic Music (SG1, SG2) (dataset ADC04, MIREX05, INDIAN08, MIREX09 0dB, MIREX09 -5dB, MIREX09 +5dB)
- M. Sordo and O. Celma: Audio Tag Classification (SC1) (dataset Major-Miner affinity, Major-Miner classification, Mood-Tag affinity, Mood-Tag classification)
- M. Sordo, D. Bogdanov and O. Celma: Audio Tag Classification Hybrid (SBC1) (dataset Major-Miner affinity, Major-Miner classification, Mood-Tag affinity, Mood-Tag classification)