2012:Symbolic Melodic Similarity Results

Introduction

These are the results for the 2011 running of the Symbolic Melodic Similarity task set. For background information about this task set please refer to the 2011:Symbolic Melodic Similarity page.

Each system was given a query and returned the 10 most melodically similar songs from those taken from the Essen Collection (5274 pieces in the MIDI format; see ESAC Data Homepage for more information). For each query, we made four classes of error-mutations, thus the set comprises the following query classes:

• 0. No errors
• 1. One note deleted
• 2. One note inserted
• 3. One interval enlarged
• 4. 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 100).

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 = 3900
Total number of unique query/candidate pairs graded = 895
Average number of query/candidate pairs evaluated per grader: 149
Number of queries = 6 (perfect) with each perfect query error-mutated 4 different ways = 30

General Legend

Sub code	Submission name	Abstract	Contributors
DB1	PPM-DJ	PDF || [http://compmus.ime.usp.br Antonio de Carvalho Junior],Leonardo Batista
ULMS1	ShapeH	PDF || Julián Urbano, [http://www.kr.inf.uc3m.es Juan Lloréns],[http://sites.google.com/site/jorgemorato/ Jorge Morato], Sonia Sánchez-Cuadrado
ULMS2	ShapeL	PDF || Julián Urbano, [http://www.kr.inf.uc3m.es Juan Lloréns],[http://sites.google.com/site/jorgemorato/ Jorge Morato], Sonia Sánchez-Cuadrado
ULMS3	ShapeG	PDF || Julián Urbano, [http://www.kr.inf.uc3m.es Juan Lloréns],[http://sites.google.com/site/jorgemorato/ Jorge Morato], Sonia Sánchez-Cuadrado
ULMS4	ShapeTime	PDF || Julián Urbano, [http://www.kr.inf.uc3m.es Juan Lloréns],[http://sites.google.com/site/jorgemorato/ Jorge Morato], Sonia Sánchez-Cuadrado
ULMS5	Time	PDF || Julián Urbano, [http://www.kr.inf.uc3m.es Juan Lloréns],[http://sites.google.com/site/jorgemorato/ Jorge Morato], Sonia Sánchez-Cuadrado

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 (0-100).
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 judgment).
Greater1⁽¹⁾ = NS=0, SS=0, VS=1 (binary relevance judgment using only Very Similar).

⁽¹⁾Normalized to the range 0 to 1.

Summary Results

Overall Scores (Includes Perfect and Error Candidates)

SCORE	DB1	ULMS1	ULMS2	ULMS3	ULMS4	ULMS5
ADR	0.0033	0.6085	0.4830	0.5416	0.6706	0.6567
NRGB	0.0049	0.5339	0.4275	0.4707	0.5788	0.5670
AP	0.0014	0.5316	0.2728	0.4175	0.5414	0.4872
PND	0.0067	0.5243	0.3271	0.4464	0.5161	0.4865
Fine	25.1533	62.9367	49.56	54.5733	63.5167	62.6133
PSum	0.32667	1.36	0.93333	1.1633	1.37	1.3267
WCSum	0.34667	1.8867	1.1733	1.5967	1.9067	1.8267
SDSum	0.36667	2.4133	1.4133	2.03	2.4433	2.3267
Greater0	0.30667	0.83333	0.69333	0.73	0.83333	0.82667
Greater1	0.02	0.52667	0.24	0.43333	0.53667	0.5

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Scores by Query Error Types

No Errors

SCORE	DB1	ULMS1	ULMS2	ULMS3	ULMS4	ULMS5
ADR	0.0000	0.6201	0.5108	0.5760	0.6555	0.6464
NRGB	0.0000	0.5177	0.4471	0.4843	0.5389	0.5422
AP	0.0023	0.5165	0.2701	0.4372	0.5199	0.4814
PND	0.0000	0.5357	0.3196	0.4899	0.5077	0.4786
Fine	25.9833	65.85	50.2167	56.8833	66.7667	63.9167
PSum	0.33333	1.45	0.95	1.2167	1.4667	1.3667
WCSum	0.35	2.0167	1.2	1.6833	2.05	1.8833
SDSum	0.36667	2.5833	1.45	2.15	2.6333	2.4
Greater0	0.31667	0.88333	0.7	0.75	0.88333	0.85
Greater1	0.016667	0.56667	0.25	0.46667	0.58333	0.51667

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Note Deletions

SCORE	DB1	ULMS1	ULMS2	ULMS3	ULMS4	ULMS5
ADR	0.0000	0.6258	0.5599	0.5526	0.7231	0.6998
NRGB	0.0000	0.5605	0.5031	0.4754	0.6467	0.6068
AP	0.0000	0.5943	0.3646	0.3955	0.6309	0.5168
PND	0.0000	0.5841	0.3865	0.4238	0.5867	0.4756
Fine	24.05	67.2667	50.3167	52.5167	68.2667	63.45
PSum	0.26667	1.45	0.95	1.1167	1.4833	1.35
WCSum	0.26667	2.0167	1.2	1.5333	2.0833	1.85
SDSum	0.26667	2.5833	1.45	1.95	2.6833	2.35
Greater0	0.26667	0.88333	0.7	0.7	0.88333	0.85
Greater1	0	0.56667	0.25	0.41667	0.6	0.5

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Note Insertions

SCORE	DB1	ULMS1	ULMS2	ULMS3	ULMS4	ULMS5
ADR	0.0000	0.6066	0.4451	0.5154	0.6623	0.6439
NRGB	0.0000	0.5332	0.3777	0.4751	0.5687	0.5476
AP	0.0000	0.5314	0.2225	0.4254	0.5281	0.4953
PND	0.0000	0.4946	0.2714	0.4780	0.4917	0.4679
Fine	24.3667	63.8167	47.35	57.8833	65.0833	62.75
PSum	0.31667	1.3833	0.86667	1.2667	1.4	1.3167
WCSum	0.33333	1.9167	1.0833	1.7333	1.9333	1.8333
SDSum	0.35	2.45	1.3	2.2	2.4667	2.35
Greater0	0.3	0.85	0.65	0.8	0.86667	0.8
Greater1	0.016667	0.53333	0.21667	0.46667	0.53333	0.51667

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Enlarged Intervals

SCORE	DB1	ULMS1	ULMS2	ULMS3	ULMS4	ULMS5
ADR	0.0000	0.5970	0.4818	0.5452	0.6584	0.6576
NRGB	0.0000	0.5390	0.4286	0.4778	0.5622	0.5783
AP	0.0000	0.5270	0.2676	0.3973	0.5244	0.4769
PND	0.0000	0.5212	0.3450	0.3937	0.4878	0.5265
Fine	25.75	57.1	49.55	51.1667	55.9167	59.75
PSum	0.33333	1.2167	0.93333	1.05	1.1833	1.25
WCSum	0.35	1.6833	1.1667	1.4333	1.6333	1.7167
SDSum	0.36667	2.15	1.4	1.8167	2.0833	2.1833
Greater0	0.31667	0.75	0.7	0.66667	0.73333	0.78333
Greater1	0.016667	0.46667	0.23333	0.38333	0.45	0.46667

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Compressed Intervals

SCORE	DB1	ULMS1	ULMS2	ULMS3	ULMS4	ULMS5
ADR	0.0164	0.5929	0.4172	0.5188	0.6539	0.6357
NRGB	0.0243	0.5192	0.3809	0.4407	0.5776	0.5600
AP	0.0049	0.4887	0.2392	0.4319	0.5035	0.4655
PND	0.0333	0.4857	0.3127	0.4468	0.5063	0.4841
Fine	25.6167	60.65	50.3667	54.4167	61.55	63.2
PSum	0.38333	1.3	0.96667	1.1667	1.3167	1.35
WCSum	0.43333	1.8	1.2167	1.6	1.8333	1.85
SDSum	0.48333	2.3	1.4667	2.0333	2.35	2.35
Greater0	0.33333	0.8	0.71667	0.73333	0.8	0.85
Greater1	0.05	0.5	0.25	0.43333	0.51667	0.5

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