2007:Symbolic Melodic Similarity Results
Contents
Introduction
These are the results for the 2007 running of the Symbolic Melodic Similarity task set. For background information about this task set please refer to the Symbolic Melodic Similarity page.
Each system was given a query and returned the 10 most melodically similar songs from the Essen Collection (5274 pieces in the MIDI format)[insert ref]. For each query, we made four classes of error-mutations:
- One note deleted
- One note insert
- One interval enlarged
- One interval compressed
For each query (and its 4 mutations), the returned results (candidates) from all systems were then grouped together (query set) for evaluation by the human graders. The graders were provide with only heard perfect version against which to evaluate the candidates and did not know whether the candidates came from a perfect or mutated query. Each query/candidate set was evaluated by 1 individual grader. Using the Evalutron 6000 system, the graders gave each query/candidate pair two types of scores. Graders were asked to provide 1 categorical score with 3 categories: NS,SS,VS as explained below, and one fine score (in the range from 0 to 10).
Evalutron 6000 Summary Data
Number of evaluators = 6
Number of evaluations per query/candidate pair = 1
Number of queries per grader = 1
Total number of candidates returned = 2400
Total number of unique query/candidate pairs graded = 799
Ave. size of the candidate lists = 133
Ave. number of query/candidate pairs evaluated per grader:
Number of queries = 6 (perfect) with each perfect query error-mutated 4 different ways = 30
General Legend
Team ID
Prefix R = RISM collection, K = Karaoke collection, M = Polyphonic collection
FHAR = Ferraro, Hanna, Allai & Robine
GAR1 = Gomez, C., Abad-Mota & Ruckhaus
GAR2 = Gomez, C., Abad-Mota & Ruckhaus
AP1 = Pinto, A.
AP2 = Pinto, A.
AP2 =
AU1 =
AU2 =
AU3 =
Broad Categories
NS = Not Similar
SS = Somewhat Similar
VS = Very Similar
Table Headings
ADR = Average Dynamic Recall
NRGB = Normalize Recall at Group Boundaries
AP = Average Precision (non-interpolated)
PND = Precision at N Documents
Calculating Summary Measures
Fine(1) = Sum of fine-grained human similarity decisions (0-10).
PSum(1) = Sum of human broad similarity decisions: NS=0, SS=1, VS=2.
WCsum(1) = 'World Cup' scoring: NS=0, SS=1, VS=3 (rewards Very Similar).
SDsum(1) = 'Stephen Downie' scoring: NS=0, SS=1, VS=4 (strongly rewards Very Similar).
Greater0(1) = NS=0, SS=1, VS=1 (binary relevance judgement).
Greater1(1) = NS=0, SS=0, VS=1 (binary relevance judgement using only Very Similar).
(1)Normalized to the range 0 to 1.
Overall Summary Results
Visualizations
Rainer Typke has created a series of Symbolic Melodic Similarity Graphs that help us visualize the results.
Rainer Typke has also created a set of detailed representations of the results that is definitely with exploring at [http://rainer.typke.org/mirex06.0.html].
Task I: RISM Overall Summary
file /nema-raid/www/mirex/results/sms06_rism_sum.csv not found
Task I: RISM Runtime Data
file /nema-raid/www/mirex/results/sms06_rism_runtime.csv not found
Task IIa: Karaoke Overall Summary
file /nema-raid/www/mirex/results/sms06_karaoke_sum.csv not found
Task IIa: Karaoke Runtime Data
file /nema-raid/www/mirex/results/sms06_karaoke_runtime.csv not found
Task IIb: Mixed Polyphonic Overall Summary
file /nema-raid/www/mirex/results/sms06_mixed_sum.csv not found
Task IIb: Mixed Polyphonic Runtime Data
file /nema-raid/www/mirex/results/sms06_mixed_runtime.csv not found
Task I: RISM Collection Summary Results
There is an error with this data set...please stand by. file /nema-raid/www/mirex/results/sms06_rism_results3.csv not found
Task IIa: Karaoke Collection Summary Results
file /nema-raid/www/mirex/results/sms06_kar_results3.csv not found
Task IIb: Mixed Polyphonic Collection Summary Results
file /nema-raid/www/mirex/results/sms06_mix_results3.csv not found
Raw Scores
The raw data derived from the Evalutron 6000 human evaluations are located on the Symbolic Melodic Similarity Raw Data page.
