2010:Symbolic Music Similarity and Retrieval
Contents
Task suggestion: Symbolic Melodic Similarity
Description
Given a query, each system is supposed to return 10 most melodically similar songs from a given collection.
Data
3 different datasets are use for 3 subtasks.
- RISM (monophonic; 10,000)
- Karoke (polyphonic; 1,000)
- Mixed (polyphonic; 15,741).
All in MIDI format.
Submission Format
Inputs/Outputs
Input: Parameters: - the name of a directory containing about MIDI files - the name of one MIDI file containing a monophonic query.
The program will be called 6 times. Three of the queries are going to be quantized (produced from symbolic notation) and three produced by humming or whistling, thus with slight rhythmic and pitch deviations.
Output: - a list of the names of the 10 most similar matching MIDI files, ordered by melodic similarity. Write the file name in separate lines, without empty lines in between.
Building the ground truth
Unlike last year, it is now nearly impossible to manually build a proper ground truth in advance.
Because of that, after the algorithms have been submitted, their results are going to be pooled for every query, and every participant is going to be asked to judge the relevance of the matches for some queries. To make that a manageable burden, it is important that the algorithms do not only return the names of the matching MIDI files for task 2, but also where the matching bit starts and ends in the matching MIDI file. We can then automatically extract those matching bits and put them into small new MIDI files whose relevance can then be quickly checked.
Measures
Use the same measures as [last year] to compare the search results of the various algorithms.
