Difference between revisions of "2013:Audio Music Similarity and Retrieval Results"

Latest revision as of 15:33, 30 October 2013

Introduction

These are the results for the 2013 running of the Audio Music Similarity and Retrieval task set. For background information about this task set please refer to the Audio Music Similarity and Retrieval page.

Each system was given 7000 songs chosen from IMIRSEL's "uspop", "uscrap" and "american" "classical" and "sundry" collections. Each system then returned a 7000x7000 distance matrix. 50 songs were randomly selected from the 10 genre groups (5 per genre) as queries and the first 5 most highly ranked songs out of the 7000 were extracted for each query (after filtering out the query itself, returned results from the same artist were also omitted). Then, for each query, the returned results (candidates) from all participants were grouped and were evaluated by human graders using the Evalutron 6000 grading system. Each individual query/candidate set was evaluated by a single grader. For each query/candidate pair, graders provided two scores. Graders were asked to provide 1 categorical BROAD score with 3 categories: NS,SS,VS as explained below, and one FINE score (in the range from 0 to 100). A description and analysis is provided below.

The systems read in 30 second audio clips as their raw data. The same 30 second clips were used in the grading stage.

General Legend

Team ID

Sub code	Submission name	Abstract	Contributors
DM1	DM1	PDF	Franz de Leon, Kirk Martinez
DM2	DM2	PDF	Franz de Leon, Kirk Martinez
GKC1	ILSP Audio Similarity	PDF	Aggelos Gkiokas, Vassilis Katsouros, George Carayannis
GKC2	ILSP Audio Similarity 2	PDF	Aggelos Gkiokas, Vassilis Katsouros, George Carayannis
PS1	PS09	PDF	Dominik Schnitzer, Tim Pohle
RA1	SimRet2013	PDF	Roman Aliyev
SS2	cbmr_sim_2013_submission	PDF	Klaus Seyerlehner, Markus Schedl
SSPK1	cbmr_sim_2010_resubmission	PDF	Klaus Seyerlehner, Markus Schedl, Tim Pohle, Peter Knees

Broad Categories

NS = Not Similar
SS = Somewhat Similar
VS = Very Similar

Understanding Summary Measures

Fine = Has a range from 0 (failure) to 100 (perfection).
Broad = Has a range from 0 (failure) to 2 (perfection) as each query/candidate pair is scored with either NS=0, SS=1 or VS=2.

Human Evaluation

Overall Summary Results

Measure	DM1	DM2	GKC1	GKC2	PS1	RA1	SS2	SSPK
Average Fine Score	46.262	48.074	43.804	48.046	53.808	18.858	55.210	54.100
Average Cat Score	0.926	0.992	0.896	0.978	1.142	0.276	1.184	1.164

download these results as csv

Friedman's Tests

Friedman's Test (FINE Scores)

The Friedman test was run in MATLAB against the Fine summary data over the 50 queries.
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);

TeamID	TeamID	Lowerbound	Mean	Upperbound	Significance
SS2	SSPK1	-1.103	0.380	1.863	FALSE
SS2	PS1	-1.063	0.420	1.903	FALSE
SS2	DM2	0.027	1.510	2.993	TRUE
SS2	GKC2	0.027	1.510	2.993	TRUE
SS2	DM1	0.447	1.930	3.413	TRUE
SS2	GKC1	1.187	2.670	4.153	TRUE
SS2	RA1	3.457	4.940	6.423	TRUE
SSPK1	PS1	-1.443	0.040	1.523	FALSE
SSPK1	DM2	-0.353	1.130	2.613	FALSE
SSPK1	GKC2	-0.353	1.130	2.613	FALSE
SSPK1	DM1	0.067	1.550	3.033	TRUE
SSPK1	GKC1	0.807	2.290	3.773	TRUE
SSPK1	RA1	3.077	4.560	6.043	TRUE
PS1	DM2	-0.393	1.090	2.573	FALSE
PS1	GKC2	-0.393	1.090	2.573	FALSE
PS1	DM1	0.027	1.510	2.993	TRUE
PS1	GKC1	0.767	2.250	3.733	TRUE
PS1	RA1	3.037	4.520	6.003	TRUE
DM2	GKC2	-1.483	0.000	1.483	FALSE
DM2	DM1	-1.063	0.420	1.903	FALSE
DM2	GKC1	-0.323	1.160	2.643	FALSE
DM2	RA1	1.947	3.430	4.913	TRUE
GKC2	DM1	-1.063	0.420	1.903	FALSE
GKC2	GKC1	-0.323	1.160	2.643	FALSE
GKC2	RA1	1.947	3.430	4.913	TRUE
DM1	GKC1	-0.743	0.740	2.223	FALSE
DM1	RA1	1.527	3.010	4.493	TRUE
GKC1	RA1	0.787	2.270	3.753	TRUE

download these results as csv

Friedman's Test (BROAD Scores)

The Friedman test was run in MATLAB against the BROAD summary data over the 50 queries.
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);

TeamID	TeamID	Lowerbound	Mean	Upperbound	Significance
SS2	SSPK1	-1.037	0.400	1.837	FALSE
SS2	PS1	-1.067	0.370	1.807	FALSE
SS2	DM2	-0.017	1.420	2.857	FALSE
SS2	GKC2	0.193	1.630	3.067	TRUE
SS2	DM1	0.573	2.010	3.447	TRUE
SS2	GKC1	0.993	2.430	3.867	TRUE
SS2	RA1	3.263	4.700	6.137	TRUE
SSPK1	PS1	-1.467	-0.030	1.407	FALSE
SSPK1	DM2	-0.417	1.020	2.457	FALSE
SSPK1	GKC2	-0.207	1.230	2.667	FALSE
SSPK1	DM1	0.173	1.610	3.047	TRUE
SSPK1	GKC1	0.593	2.030	3.467	TRUE
SSPK1	RA1	2.863	4.300	5.737	TRUE
PS1	DM2	-0.387	1.050	2.487	FALSE
PS1	GKC2	-0.177	1.260	2.697	FALSE
PS1	DM1	0.203	1.640	3.077	TRUE
PS1	GKC1	0.623	2.060	3.497	TRUE
PS1	RA1	2.893	4.330	5.767	TRUE
DM2	GKC2	-1.227	0.210	1.647	FALSE
DM2	DM1	-0.847	0.590	2.027	FALSE
DM2	GKC1	-0.427	1.010	2.447	FALSE
DM2	RA1	1.843	3.280	4.717	TRUE
GKC2	DM1	-1.057	0.380	1.817	FALSE
GKC2	GKC1	-0.637	0.800	2.237	FALSE
GKC2	RA1	1.633	3.070	4.507	TRUE
DM1	GKC1	-1.017	0.420	1.857	FALSE
DM1	RA1	1.253	2.690	4.127	TRUE
GKC1	RA1	0.833	2.270	3.707	TRUE

download these results as csv

Summary Results by Query

FINE Scores

These are the mean FINE scores per query assigned by Evalutron graders. The FINE scores for the 5 candidates returned per algorithm, per query, have been averaged. Values are bounded between 0 and 100. A perfect score would be 100. Genre labels have been included for reference.

Genre	Query	DM1	DM2	GKC1	GKC2	PS1	RA1	SS2	SSPK1
BAROQUE	d001537	88.8	85.3	76.7	84.6	82.7	14.7	86.8	87.6
BAROQUE	d004754	27.3	33.7	24.3	25.7	55.7	0.4	35.6	55.8
BAROQUE	d005709	67.0	67.0	61.2	57.0	63.3	4.9	60.0	50.0
BAROQUE	d010905	64.3	40.3	61.8	59.3	70.3	9.7	76.0	76.5
BAROQUE	d012021	38.7	14.7	20.5	27.0	40.0	0.2	54.5	58.0
BLUES	e000029	33.0	35.6	27.0	23.4	36.1	17.7	23.4	29.7
BLUES	e001368	75.1	74.4	53.7	43.0	79.1	35.1	73.4	72.6
BLUES	e005937	43.1	51.9	37.0	53.0	67.3	55.6	65.3	66.5
BLUES	e015582	62.7	49.8	64.1	55.7	38.4	41.8	66.8	59.7
BLUES	e018379	63.8	61.6	59.8	63.3	63.5	36.3	58.6	59.4
CLASSICAL	d004474	58.5	59.2	55.0	53.9	55.6	8.3	57.7	58.2
CLASSICAL	d007653	54.1	58.0	41.0	38.7	51.1	13.7	54.8	48.0
CLASSICAL	d007675	62.3	81.0	73.5	72.2	75.6	21.4	80.0	72.4
CLASSICAL	d019132	3.5	2.8	3.4	4.9	3	0	7.5	4.5
CLASSICAL	d019948	65.5	58.0	53.5	60.0	64.5	7.5	61.5	58.5
COUNTRY	e003848	36.8	36.3	29.2	29.9	39.9	15.2	41.4	40.0
COUNTRY	e007409	59.0	65.0	67.5	67.0	76.0	39.0	76.5	81.0
COUNTRY	e010612	40.7	37.5	35.1	52.9	55.1	14.1	66.0	62.7
COUNTRY	e012827	67.9	71.6	68.4	69.4	80.0	29.9	87.5	76.7
COUNTRY	e019126	29.2	44.1	33.4	41.6	31.4	22.5	45.6	39.0
EDANCE	a000504	86.5	88.1	68.5	80.7	84.5	24.7	87.5	83.9
EDANCE	a003842	19.5	28.5	56.8	42.5	56.6	22.7	60.8	53.8
EDANCE	a004027	43.8	39.0	25.1	20.7	41.0	21.6	28.4	33.4
EDANCE	b002993	57.0	49.0	51.0	57.0	37.0	29.0	68.0	68.0
EDANCE	b003885	33.9	58.1	66.6	67.6	56.0	25.4	67.5	67.6
JAZZ	e001100	43.3	31.9	59.6	69.1	65.6	12.1	63.6	60.3
JAZZ	e002233	56.8	59.0	54.0	59.2	51.9	31.8	52.2	63.3
JAZZ	e003036	83.5	79.8	86.1	88.5	82.2	37.7	88.5	87.9
JAZZ	e007159	60.2	67.3	41.3	65.5	73.6	16.8	72.2	46.1
JAZZ	e010868	61.0	73.0	65.4	72.4	69.7	41.3	71.3	85.5
METAL	b005514	9.5	22.6	15.5	27.7	24.4	13.5	28.9	35.9
METAL	b005832	63.6	64.5	36.5	50.0	62.8	38.1	73.9	73.3
METAL	b008728	13.9	18.3	15.1	26.4	24.1	12.1	24.7	16.6
METAL	b015780	39.3	66.0	44.7	46.1	70.3	22.7	50.0	58.5
METAL	f004405	17.4	21.6	11.0	22.4	37.7	12.6	15.9	21.2
RAPHIPHOP	a005976	52.5	58.0	50.3	56.6	58.4	23.2	62.4	59.2
RAPHIPHOP	a007753	37.3	38.1	32.6	50.7	48.3	10.9	48.9	49.1
RAPHIPHOP	a008296	31.1	27.2	40.4	40.4	36.1	14.3	38.7	37.1
RAPHIPHOP	b007216	12.7	22.1	36.9	44.5	46.0	10.9	40.9	38.5
RAPHIPHOP	b009991	62.9	65.2	67.2	69.5	75.6	20.4	62.4	66.3
ROCKROLL	b002418	29.5	29.0	34.5	38.5	35.0	14.8	42.0	33.5
ROCKROLL	b012404	36.8	52.1	47.1	45.7	46.5	36.3	58.7	61.7
ROCKROLL	b012651	17.5	18.0	10.0	21.5	30.5	12.5	41.5	33.5
ROCKROLL	b018558	35.5	36.0	11.5	25.0	42.0	11.5	49.0	48.5
ROCKROLL	b019150	6	11.2	12.0	11.2	13.6	3.5	12.2	13.6
ROMANTIC	d004234	27.7	20.4	17.2	24.6	28.3	11.7	13.8	27.0
ROMANTIC	d007659	65.0	62.5	22.5	40.9	72.8	1.5	74.1	67.6
ROMANTIC	d011050	54.5	58.8	44.2	44.9	52.5	7.1	53.2	47.3
ROMANTIC	d011968	76.1	67.9	74.0	59.3	78.0	6.2	73.7	73.8
ROMANTIC	d013072	37.5	42.7	46.5	50.7	60.8	8	56.7	40.2

download these results as csv

BROAD Scores

These are the mean BROAD scores per query assigned by Evalutron graders. The BROAD scores for the 5 candidates returned per algorithm, per query, have been averaged. Values are bounded between 0 (not similar) and 2 (very similar). A perfect score would be 2. Genre labels have been included for reference.

Genre	Query	DM1	DM2	GKC1	GKC2	PS1	RA1	SS2	SSPK1
BAROQUE	d001537	2	2	1.6	1.9	1.9	0.1	2	2
BAROQUE	d004754	0.7	0.8	0.7	0.8	1.2	0	0.7	1.2
BAROQUE	d005709	1.5	1.5	1.3	1.1	1.5	0	1.4	1
BAROQUE	d010905	1.7	0.8	1.5	1.4	1.8	0.1	1.9	2
BAROQUE	d012021	0.9	0.3	0.5	0.4	0.7	0	1.1	1.4
BLUES	e000029	1	1.1	0.6	0.8	1	0.4	0.8	1
BLUES	e001368	1.5	1.5	0.7	0.4	1.8	0.4	1.5	1.6
BLUES	e005937	0.8	1.1	0.6	1.2	1.6	1.2	1.5	1.5
BLUES	e015582	1.2	0.9	1.3	1	0.6	0.8	1.4	1.2
BLUES	e018379	0.9	0.9	1.1	1.2	1.2	0.6	1	1
CLASSICAL	d004474	1.3	1.3	1.2	1.2	1.2	0	1.3	1.1
CLASSICAL	d007653	1.2	1.3	0.7	0.6	0.9	0	1.2	1
CLASSICAL	d007675	1.4	1.9	1.6	1.7	1.7	0.2	1.9	1.7
CLASSICAL	d019132	0	0	0	0	0	0	0.1	0
CLASSICAL	d019948	1.1	0.9	1	1	1	0	1	1
COUNTRY	e003848	0.6	0.6	0.3	0.3	0.6	0	0.7	0.6
COUNTRY	e007409	1	1.2	1.3	1.2	1.6	0.6	1.6	1.8
COUNTRY	e010612	0.8	0.8	0.7	1.1	1.2	0.1	1.3	1.2
COUNTRY	e012827	1.2	1.4	1.4	1.3	1.7	0.5	2	1.7
COUNTRY	e019126	0.5	0.8	0.6	0.8	0.7	0.3	1	0.7
EDANCE	a000504	2	2	1.5	1.8	1.7	0.4	1.9	1.8
EDANCE	a003842	0.1	0.5	1.4	0.9	1.4	0.4	1.6	1.4
EDANCE	a004027	0.9	0.8	0.4	0.3	0.9	0.4	0.7	0.8
EDANCE	b002993	1	1	0.9	1	0.5	0.3	1.3	1.3
EDANCE	b003885	0.5	1.2	1.8	1.8	1.2	0.3	1.6	1.6
JAZZ	e001100	0.5	0.3	1.2	1.3	1.2	0	1.2	1.1
JAZZ	e002233	1.1	1.2	1.2	1.3	1.1	0.6	1.1	1.3
JAZZ	e003036	1.7	1.6	1.9	1.8	1.6	0.3	1.9	2
JAZZ	e007159	1.3	1.5	0.7	1.3	1.6	0.3	1.5	1
JAZZ	e010868	1.1	1.3	1.2	1.3	1.3	0.7	1.3	1.9
METAL	b005514	0.3	0.8	0.6	0.8	0.9	0.6	0.8	1.1
METAL	b005832	1.3	1.3	0.5	0.7	1.2	0.6	1.5	1.6
METAL	b008728	0.3	0.5	0.5	0.6	0.7	0.2	0.7	0.5
METAL	b015780	0.9	1.7	1	1	1.7	0.4	1.1	1.3
METAL	f004405	0.7	0.7	0.3	0.7	1.2	0.5	0.5	0.6
RAPHIPHOP	a005976	0.9	0.9	0.7	0.9	1	0.3	1	1
RAPHIPHOP	a007753	0.8	0.7	0.5	1	0.9	0	1	1.1
RAPHIPHOP	a008296	0.4	0.3	0.7	0.8	0.7	0.2	0.6	0.6
RAPHIPHOP	b007216	0.2	0.5	0.8	1	1.1	0.1	1	0.8
RAPHIPHOP	b009991	1.3	1.3	1.6	1.6	1.7	0	1.2	1.4
ROCKROLL	b002418	0.4	0.4	0.6	0.7	0.5	0.1	0.6	0.4
ROCKROLL	b012404	0.7	1.3	0.9	0.7	0.9	0.5	1.5	1.4
ROCKROLL	b012651	0.2	0.3	0.2	0.4	0.5	0.3	0.7	0.5
ROCKROLL	b018558	0.8	0.8	0.2	0.7	1.1	0.4	1.3	1.3
ROCKROLL	b019150	0.2	0.5	0.5	0.4	0.6	0.4	0.5	0.5
ROMANTIC	d004234	0.2	0.2	0	0	0	0	0.1	0.2
ROMANTIC	d007659	1.2	1.1	0.5	1	1.6	0	1.4	1.3
ROMANTIC	d011050	1.1	1.2	1	1	1.1	0.1	1.1	1
ROMANTIC	d011968	2	1.7	1.7	1.5	1.9	0	1.8	1.9
ROMANTIC	d013072	0.9	0.9	1.1	1.2	1.4	0.1	1.3	0.8

download these results as csv

Raw Scores

The raw data derived from the Evalutron 6000 human evaluations are located on the 2013:Audio Music Similarity and Retrieval Raw Data page.

Metadata and Distance Space Evaluation

The following reports provide evaluation statistics based on analysis of the distance space and metadata matches and include:

Neighbourhood clustering by artist, album and genre
Artist-filtered genre clustering
How often the triangular inequality holds
Statistics on 'hubs' (tracks similar to many tracks) and orphans (tracks that are not similar to any other tracks at N results).

Reports

DM1 = Franz de Leon, Kirk Martinez
DM2 = Franz de Leon, Kirk Martinez
GKC1 = Aggelos Gkiokas, Vassilis Katsouros, George Carayannis
GKC2 = Aggelos Gkiokas, Vassilis Katsouros, George Carayannis
PS1 = Dominik Schnitzer, Tim Pohle
RA1 = Roman Aliyev
SS2 = Klaus Seyerlehner, Markus Schedl
SSPK1 = Klaus Seyerlehner, Markus Schedl, Tim Pohle, Peter Knees

@@ Line 25: / Line 25: @@
 	|-
          ! GKC1
-	| ILSP Audio Similarity ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2013/GKC1.pdf PDF] || [http:// Aggelos Gkiokas], [http:// Vassilis Katsouros], [http:// George Carayannis]
+	| ILSP Audio Similarity ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2013/GKC1.pdf PDF] || [http://www.ilsp.gr/ Aggelos Gkiokas], [http://www.ilsp.gr/ Vassilis Katsouros], [http://www.ece.ntua.gr/index.php?option=com_dep&task=profile&id=12&Itemid=62&lang=en George Carayannis]
          |-
          ! GKC2
-	| ILSP Audio Similarity 2 ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2013/GKC2.pdf PDF] || [http:// Aggelos Gkiokas], [http:// Vassilis Katsouros], [http:// George Carayannis]
+	| ILSP Audio Similarity 2 ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2013/GKC2.pdf PDF] || [http://www.ilsp.gr/en/infoprojects/meta?view=member&task=show&id=20 Aggelos Gkiokas], [http://www.ilsp.gr/en/research/publications?view=member&id=33&task=show Vassilis Katsouros], [http://www.ilsp.gr/homepages/carayannis_eng.html George Carayannis]
          |-
          ! PS1
@@ Line 34: / Line 34: @@
          |-
          ! RA1
-	| SimRet2013 ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2013/RA1.pdf PDF] || [http:// Roman Aliyev]
+	| SimRet2013 ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2013/RA1.pdf PDF] || [http://www.bsu.by/en/main.aspx Roman Aliyev]
          |-
          ! SS2

Difference between revisions of "2013:Audio Music Similarity and Retrieval Results"

Latest revision as of 15:33, 30 October 2013

Contents

Introduction

General Legend

Team ID

Broad Categories

Understanding Summary Measures

Human Evaluation

Overall Summary Results

Friedman's Tests

Friedman's Test (FINE Scores)

Friedman's Test (BROAD Scores)

Summary Results by Query

FINE Scores

BROAD Scores

Raw Scores

Metadata and Distance Space Evaluation

Reports

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Views

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MIREX by Year

Results by Year

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