Difference between revisions of "2006:2006 Plenary Notes"
From MIREX Wiki
| Line 20: | Line 20: | ||
** Score following: have ground work done for future years | ** Score following: have ground work done for future years | ||
** QBSH: 48 ground truth melodies. Different versions of queries on the 48 melodies. About 2000 noise songs were selected from Essen dataset. Both audio input and MIDI input are supported. | ** QBSH: 48 ground truth melodies. Different versions of queries on the 48 melodies. About 2000 noise songs were selected from Essen dataset. Both audio input and MIDI input are supported. | ||
| − | *Please think about new tasks next year: | + | *Please think about new tasks next year. |
| + | *New evaluations: | ||
| + | **Evalutron 6000 got real-world human judgment. | ||
| + | **Audio onset detection supported multiple parameters. | ||
| + | **Friedman test: It is valuable experience from TREC conferences, the annual contests in Text Retrieval area. | ||
| + | |||
| + | ==Onset Detection== | ||
| + | By tuning the parameters, we can get an optimal setting which is a tradeoff between precision and recall. | ||
| + | We need new dataset to see if the tuned parameters are good for onseen data. | ||
Revision as of 15:24, 12 October 2006
Oct. 12th @ Empress Crystal Hall, Victoria
Contents
Openning
Professor Stephen Downie gave the openning remarks:
- We will present certificates for participants. Feel free to grab yours if you are leaving.
- Appreciation to IMIRSEL team members.
Overview
- This year MIREX is highly successful. We got everything done on time!
- Matlab is widely used (universal retrieval language!)
- All the evaluation result data files are available on the wiki.
Tasks
- We had sub-tasks as tasks are getting matured.
- New tasks:
- Audio cover song: 13 different songs, each of which has 11 different versions
- Score following: have ground work done for future years
- QBSH: 48 ground truth melodies. Different versions of queries on the 48 melodies. About 2000 noise songs were selected from Essen dataset. Both audio input and MIDI input are supported.
- Please think about new tasks next year.
- New evaluations:
- Evalutron 6000 got real-world human judgment.
- Audio onset detection supported multiple parameters.
- Friedman test: It is valuable experience from TREC conferences, the annual contests in Text Retrieval area.
Onset Detection
By tuning the parameters, we can get an optimal setting which is a tradeoff between precision and recall. We need new dataset to see if the tuned parameters are good for onseen data.
