2006:2006 Plenary Notes
From MIREX Wiki
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. Question: comparison to last year results? Answer:
Evalutron 6000
Two judgments:
- category judgment: Not similar; Similar; Very similar
- continurous score: from 0 to 10, allowing one decimal after the decimal point.
- the system: using CMS open source software
- still have data that we haven't fully processed (other user/evaluator behaviors)
- new evaluation on other facets? e.g. mood
- suggestions?
- appreciate evaluators' volunteer work. Your work makes life beautiful!
Questions: consistency across users? Answer: the data appear to be quite consistency. More analysis can be done on the data which are publicly assessable.
- automatic evaluation using available metadata (vs human judgment)
Friedman tests
a variation of chi-square test Matlab script code is on the wiki Compare different algorithms this test is conservative