2006:QBSH: Query-by-Singing/Humming Results

Introduction

These are the results for the 2006 running of the QBSH: Query-by-Singing Humming task set. For background information about this task set please refer to the QBSH: Query-by-Singing/Humming page. QBSH task consists of two subtasks. The first subtask is known as Known-Item Retrieval. In this subtask, submitted systems take a sung query as input and return a list of songs from the test database. Mean reciprocal rank (MRR) of the ground truth is calculated over the top 20 returns. The test database consists of 48 ground-truth MIDIs + 2000 Essen Collection MIDI noise files. The query database consists of 2797 sung queries.

The second subtask is called Queries as Variations. In this subtask, systems take an input from the query database which consists of 2797 sung queries + 48 ground truth files and return a list of 20 songs from the test database which consists of 48 ground truth MIDIs + 2000 Essen MIDI noise files + 2797 sung queries. The precision based on the number of songs within the same ground truth class of the query is calculated over the top 20 returns for each of the 2845 queries.

General Legend

Team ID

AU = Alexandra Uitdenbogerd
CS1 = Christian Sailer-ear
CS2 = Christian Sailer-midi
CS3 = Christian Sailer-warp
FH = Pascal Ferraro and Pierre Hanna
NM = Kjell Lemström, Niko Mikkilä, Veli Mäkinen and Esko Ukkonen
RJ = Jyh-Shing Roger Jang and Nien-Jung Lee
RL = Ernesto Lopez and Martín Rocamora
RT = Rainer Typke, Frans Wiering and Remco C. Veltkamp
XW = Xiao Wu and Ming Li

Calculating Summary Measures

MRR = Mean Reciprocal Rank. Reciprocal rank is the reciprocal of the rank of the first correctly identified cover for each query (1/rank). These values are averaged for each ground truth group as well as overall.

Overall Summary Results

	AU1	AU2	CS1	CS2	CS3	FH	NM	RJ	RL	RT1	RT2	XW1	XW2
Task I (MRR)	0.205	0.288	0.568	0.283	0.348	0.218	0.688	0.883	0.800	0.196	0.390	0.926	0.900
Task II (Mean Precision)	0.163	0.238	0.587	0.649	0.415	0.309	0.722	0.926	no entry	0.468	0.401	no entry	no entry

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QBSH Task 1 Runtime Data

Team ID		Machine	Run-time(seconds)
AU1	qbsh1	beer 2	166
AU1	qbsh2	beer 2	140
AU1-2	indexing	beer 2	8
CS1	indexing	beer 4	3
CS1	query	beer 4	56560
CS2	indexing	beer 3	3
CS2	query	beer 3	608
CS3	indexing	beer 3	3
CS3	query	beer 3	4618
FH	all	beer 1	89239
NM	query	beer 2	8302
RJ	query	yellow	25637
RL	indexing	beer 9	6
RL	query	beer 9	20604
RT	indexing	beer 4	23442
RT1	query1	beer 4	2034
RT2	query2	beer 4	4629
XW	indexing	red	63
XW1	searchingfrombeginning	red	2502
XW2	searchingfromanyposition	red	2817

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QBSH Task 2 Runtime Data

Team ID		Machine	Run-time(seconds)
AU	indexing	beer 8	13
AU1	query1	beer 8	251
AU2	query2	beer 8	215
CS-ear	indexing	beer 0	4
CS-ear	query	beer 0	12201
CS-midi	indexing	beer 3	4
CS-midi	query	beer 3	781
CS-warp	indexing	beer 6	4
CS-warp	query	beer 6	4944
FH	all	beer 1	414307
NM	indexing/query	beer 2	16691
RJ	all	yellow	17057
RT	indexing	beer 4	17296
RT1	query1	beer 4	2112
RT2	query2	beer 4	3738

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Task I: "Known-Item Searching" Friedman Test with Multiple Comparisons Results (p=0.05)

The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);

Friedman's ANOVA Table
Source	SS	df	MS	Chi-sq	Prob>Chi-sq
Columns	6731.4592	12	560.9549	444.9051	0
Error	2165.0408	576	3.7588
Total	8896.5	636

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TeamID	TeamID	Lowerbound	Mean	Upperbound	Significance
AU1	AU2	-3.8482	-1.2449	1.3584	FALSE
AU1	CS1	-7.4502	-4.8469	-2.2436	TRUE
AU1	CS2	-3.389	-0.7857	1.8176	FALSE
AU1	CS3	-5.2768	-2.6735	-0.0702	TRUE
AU1	FH	-3.1033	-0.5	2.1033	FALSE
AU1	NM	-7.8992	-5.2959	-2.6926	TRUE
AU1	RJ	-10.2462	-7.6429	-5.0396	FALSE
AU1	RL	-9.3992	-6.7959	-4.1926	TRUE
AU1	RT1	-2.1339	0.4694	3.0727	FALSE
AU1	RT2	-5.2155	-2.6122	-0.0089	TRUE
AU1	XW1	-11.6645	-9.0612	-6.4579	TRUE
AU1	XW2	-10.9604	-8.3571	-5.7538	TRUE
AU2	CS1	-6.2053	-3.602	-0.9987	TRUE
AU2	CS2	-2.1441	0.4592	3.0625	FALSE
AU2	CS3	-4.0319	-1.4286	1.1747	FALSE
AU2	FH	-1.8584	0.7449	3.3482	FALSE
AU2	NM	-6.6543	-4.051	-1.4477	TRUE
AU2	RJ	-9.0013	-6.398	-3.7947	TRUE
AU2	RL	-8.1543	-5.551	-2.9477	TRUE
AU2	RT1	-0.889	1.7143	4.3176	FALSE
AU2	RT2	-3.9707	-1.3673	1.236	FALSE
AU2	XW1	-10.4196	-7.8163	-5.213	TRUE
AU2	XW2	-9.7155	-7.1122	-4.5089	TRUE
CS1	CS2	1.4579	4.0612	6.6645	TRUE
CS1	CS3	-0.4298	2.1735	4.7768	FALSE
CS1	FH	1.7436	4.3469	6.9502	TRUE
CS1	NM	-3.0523	-0.449	2.1543	FALSE
CS1	RJ	-5.3992	-2.7959	-0.1926	TRUE
CS1	RL	-4.5523	-1.949	0.6543	FALSE
CS1	RT1	2.713	5.3163	7.9196	TRUE
CS1	RT2	-0.3686	2.2347	4.838	FALSE
CS1	XW1	-6.8176	-4.2143	-1.611	TRUE
CS1	XW2	-6.1135	-3.5102	-0.9069	TRUE
CS2	CS3	-4.4911	-1.8878	0.7155	FALSE
CS2	FH	-2.3176	0.2857	2.889	FALSE
CS2	NM	-7.1135	-4.5102	-1.9069	TRUE
CS2	RJ	-9.4604	-6.8571	-4.2538	TRUE
CS2	RL	-8.6135	-6.0102	-3.4069	TRUE
CS2	RT1	-1.3482	1.2551	3.8584	FALSE
CS2	RT2	-4.4298	-1.8265	0.7768	FALSE
CS2	XW1	-10.8788	-8.2755	-5.6722	TRUE
CS2	XW2	-10.1747	-7.5714	-4.9681	TRUE
CS3	FH	-0.4298	2.1735	4.7768	FALSE
CS3	NM	-5.2258	-2.6224	-0.0191	TRUE
CS3	RJ	-7.5727	-4.9694	-2.3661	TRUE
CS3	RL	-6.7258	-4.1224	-1.5191	TRUE
CS3	RT1	0.5396	3.1429	5.7462	FALSE
CS3	RT2	-2.5421	0.0612	2.6645	FALSE
CS3	XW1	-8.9911	-6.3878	-3.7845	TRUE
CS3	XW2	-8.287	-5.6837	-3.0804	TRUE
FH	NM	-7.3992	-4.7959	-2.1926	TRUE
FH	RJ	-9.7462	-7.1429	-4.5396	TRUE
FH	RL	-8.8992	-6.2959	-3.6926	TRUE
FH	RT1	-1.6339	0.9694	3.5727	FALSE
FH	RT2	-4.7155	-2.1122	0.4911	FALSE
FH	XW1	-11.1645	-8.5612	-5.9579	TRUE
FH	XW2	-10.4604	-7.8571	-5.2538	TRUE
NM	RJ	-4.9502	-2.3469	0.2564	FALSE
NM	RL	-4.1033	-1.5	1.1033	FALSE
NM	RT1	3.162	5.7653	8.3686	TRUE
NM	RT2	0.0804	2.6837	5.287	TRUE
NM	XW1	-6.3686	-3.7653	-1.162	TRUE
NM	XW2	-5.6645	-3.0612	-0.4579	TRUE
RJ	RL	-1.7564	0.8469	3.4502	FALSE
RJ	RT1	5.5089	8.1122	10.7155	FALSE
RJ	RT2	2.4273	5.0306	7.6339	FALSE
RJ	XW1	-4.0217	-1.4184	1.1849	FALSE
RJ	XW2	-3.3176	-0.7143	1.889	FALSE
RL	RT1	4.662	7.2653	9.8686	TRUE
RL	RT2	1.5804	4.1837	6.787	TRUE
RL	XW1	-4.8686	-2.2653	0.338	FALSE
RL	XW2	-4.1645	-1.5612	1.0421	FALSE
RT1	RT2	-5.6849	-3.0816	-0.4783	TRUE
RT1	XW1	-12.1339	-9.5306	-6.9273	TRUE
RT1	XW2	-11.4298	-8.8265	-6.2232	TRUE
RT2	XW1	-9.0523	-6.449	-3.8457	TRUE
RT2	XW2	-8.3482	-5.7449	-3.1416	TRUE
XW1	XW2	-1.8992	0.7041	3.3074	FALSE

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Task I: "Known-Item Searching" Summary Results

MMR data summarized by the 48 ground truth song groups.

Group	AU1	AU2	CS1	CS2	CS3	FH	NM	RJ	RL	RT1	RT2	XW1	XW2
1	0.061	0.080	0.833	0.333	0.377	0.109	0.750	0.889	0.794	0.176	0.390	1.000	1.000
2	0.170	0.167	0.477	0.266	0.418	0.010	0.583	0.611	0.611	0.000	0.356	0.361	0.361
3	0.389	0.507	0.875	0.500	0.750	0.572	0.708	0.875	0.875	0.375	0.450	0.775	0.750
4	0.502	0.675	0.926	0.333	0.778	0.778	0.944	1.000	0.833	0.355	0.679	1.000	1.000
5	0.250	0.333	0.500	0.148	0.389	0.356	0.526	0.509	0.697	0.222	0.283	0.895	0.900
6	0.258	0.188	0.938	0.400	1.000	0.143	0.688	0.875	0.519	0.125	0.221	1.000	1.000
7	0.135	0.244	1.000	0.370	1.000	0.387	0.790	0.889	0.685	0.111	0.222	0.926	0.900
8	0.119	0.134	0.889	0.472	0.815	0.460	0.815	0.634	0.444	0.000	0.236	1.000	1.000
9	0.394	0.324	0.542	0.125	0.375	0.251	0.669	0.750	0.764	0.313	0.250	1.000	1.000
10	0.202	0.406	0.750	0.400	0.900	0.500	0.827	0.800	0.900	0.206	0.556	1.000	1.000
11	0.280	0.288	0.836	0.662	0.823	0.419	0.800	0.922	0.874	0.319	0.364	0.935	0.933
12	0.265	0.438	0.941	0.738	0.765	0.479	0.737	0.890	0.791	0.401	0.460	0.935	0.923
13	0.207	0.105	0.363	0.032	0.033	0.286	0.733	0.898	0.710	0.057	0.196	0.972	0.966
14	0.344	0.476	0.748	0.221	0.291	0.268	0.735	0.929	0.906	0.361	0.597	0.947	0.908
15	0.245	0.213	0.867	0.252	0.722	0.102	0.671	0.819	0.867	0.022	0.208	0.867	0.871
16	0.311	0.580	0.941	0.811	0.895	0.495	0.829	0.805	0.902	0.414	0.618	0.964	0.949
17	0.119	0.118	0.458	0.159	0.255	0.025	0.681	0.832	0.795	0.018	0.254	0.931	0.914
18	0.282	0.432	0.793	0.261	0.314	0.242	0.754	0.877	0.838	0.195	0.664	0.995	0.984
19	0.224	0.501	0.892	0.399	0.415	0.123	0.752	0.947	0.912	0.239	0.655	0.960	0.943
20	0.164	0.150	0.782	0.238	0.288	0.127	0.609	0.950	0.821	0.222	0.253	0.986	0.977
21	0.170	0.184	0.485	0.056	0.436	0.105	0.547	0.668	0.809	0.205	0.331	0.626	0.552
22	0.218	0.355	0.859	0.402	0.459	0.185	0.820	0.953	0.899	0.294	0.370	0.987	0.987
23	0.174	0.340	0.833	0.738	0.639	0.151	0.618	0.978	0.745	0.183	0.371	0.956	0.956
24	0.134	0.179	0.581	0.073	0.289	0.042	0.493	0.814	0.731	0.103	0.213	0.807	0.787
25	0.126	0.188	0.342	0.142	0.224	0.139	0.638	0.573	0.673	0.022	0.220	0.674	0.609
26	0.334	0.425	0.804	0.592	0.380	0.393	0.603	0.936	0.885	0.128	0.479	0.923	0.910
27	0.047	0.198	0.000	0.000	0.000	0.126	0.693	0.962	0.716	0.252	0.207	1.000	0.869
28	0.130	0.165	0.595	0.132	0.197	0.142	0.136	0.645	0.809	0.127	0.221	0.738	0.614
29	0.192	0.182	0.023	0.000	0.000	0.211	0.548	0.870	0.761	0.076	0.238	0.914	0.933
30	0.252	0.449	0.820	0.213	0.465	0.167	0.760	0.946	0.916	0.247	0.468	0.964	0.924
31	0.200	0.342	0.011	0.000	0.000	0.184	0.812	0.969	0.795	0.294	0.512	0.989	0.983
32	0.169	0.293	0.830	0.665	0.664	0.136	0.863	0.925	0.751	0.324	0.493	0.975	0.982
33	0.069	0.159	0.053	0.000	0.000	0.106	0.541	0.845	0.366	0.365	0.210	0.742	0.507
34	0.172	0.173	0.137	0.000	0.000	0.216	0.675	0.909	0.924	0.065	0.572	0.970	0.916
35	0.093	0.168	0.059	0.000	0.000	0.123	0.562	0.971	0.713	0.091	0.243	0.923	0.903
36	0.237	0.350	0.772	0.320	0.428	0.240	0.888	0.885	0.900	0.057	0.353	0.960	0.960
37	0.272	0.123	0.103	0.000	0.026	0.143	0.647	0.870	0.723	0.060	0.316	0.897	0.891
38	0.235	0.225	0.773	0.641	0.471	0.327	0.511	0.906	0.922	0.258	0.536	0.914	0.893
39	0.258	0.275	0.721	0.566	0.505	0.222	0.736	0.868	0.741	0.223	0.503	0.905	0.871
40	0.257	0.262	0.681	0.381	0.305	0.122	0.587	0.851	0.869	0.265	0.507	0.916	0.880
41	0.186	0.380	0.676	0.267	0.510	0.159	0.682	0.904	0.821	0.076	0.378	0.987	0.965
42	0.297	0.324	0.283	0.039	0.033	0.366	0.893	0.950	0.799	0.142	0.309	0.967	0.964
43	0.223	0.346	0.057	0.000	0.007	0.333	0.796	0.961	0.873	0.176	0.379	0.962	0.944
44	0.208	0.293	0.943	0.645	0.771	0.355	0.851	0.899	0.883	0.108	0.435	0.983	0.984
45	0.129	0.154	0.771	0.384	0.658	0.161	0.654	0.861	0.710	0.104	0.183	0.959	0.948
46	0.157	0.250	0.722	0.357	0.521	0.224	0.598	0.895	0.728	0.088	0.257	0.943	0.947
47	0.060	0.077	0.792	0.268	0.419	0.162	0.716	1.000	0.757	0.171	0.236	0.967	0.963
48	0.195	0.347	0.000	0.000	0.000	0.159	0.559	0.878	0.908	0.147	0.384	0.895	0.948

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Task II: "Queries as Variations" Friedman Test with Multiple Comparisons Results (p=0.05)

The Friedman test was run in MATLAB against the QBSH Task 2 mean precision data over the 48 ground truth song groups.
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);

Friedman's ANOVA Table
Source	SS	df	MS	Chi-sq	Prob>Chi-sq
Columns	3104.14	9	344.904	339.62	0
Error	844.36	423	1.996
Total	3948.5	479

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TeamID	TeamID	Lowerbound	Mean	Upperbound	Significance
AU1	AU2	-3.171118	-1.21875	0.733618	FALSE
AU1	CS1	-7.650284	-5.697917	-3.745549	TRUE
AU1	CS2	-8.296118	-6.34375	-4.391382	TRUE
AU1	CS3	-5.358618	-3.40625	-1.453882	TRUE
AU1	FH	-4.358618	-2.40625	-0.453882	TRUE
AU1	NM	-8.733618	-6.78125	-4.828882	TRUE
AU1	RJ	-10.639868	-8.6875	-6.735132	TRUE
AU1	RT1	-5.827368	-3.875	-1.922632	TRUE
AU1	RT2	-5.410701	-3.458333	-1.505966	TRUE
AU2	CS1	-6.431534	-4.479167	-2.526799	TRUE
AU2	CS2	-7.077368	-5.125	-3.172632	TRUE
AU2	CS3	-4.139868	-2.1875	-0.235132	TRUE
AU2	FH	-3.139868	-1.1875	0.764868	FALSE
AU2	NM	-7.514868	-5.5625	-3.610132	TRUE
AU2	RJ	-9.421118	-7.46875	-5.516382	TRUE
AU2	RT1	-4.608618	-2.65625	-0.703882	TRUE
AU2	RT2	-4.191951	-2.239583	-0.287216	TRUE
CS1	CS2	-2.598201	-0.645833	1.306534	FALSE
CS1	CS3	0.339299	2.291667	4.244034	TRUE
CS1	FH	1.339299	3.291667	5.244034	TRUE
CS1	NM	-3.035701	-1.083333	0.869034	FALSE
CS1	RJ	-4.941951	-2.989583	-1.037216	TRUE
CS1	RT1	-0.129451	1.822917	3.775284	FALSE
CS1	RT2	0.287216	2.239583	4.191951	TRUE
CS2	CS3	0.985132	2.9375	4.889868	TRUE
CS2	FH	1.985132	3.9375	5.889868	TRUE
CS2	NM	-2.389868	-0.4375	1.514868	FALSE
CS2	RJ	-4.296118	-2.34375	-0.391382	TRUE
CS2	RT1	0.516382	2.46875	4.421118	TRUE
CS2	RT2	0.933049	2.885417	4.837784	TRUE
CS3	FH	-0.952368	1	2.952368	FALSE
CS3	NM	-5.327368	-3.375	-1.422632	TRUE
CS3	RJ	-7.233618	-5.28125	-3.328882	TRUE
CS3	RT1	-2.421118	-0.46875	1.483618	FALSE
CS3	RT2	-2.004451	-0.052083	1.900284	FALSE
FH	NM	-6.327368	-4.375	-2.422632	TRUE
FH	RJ	-8.233618	-6.28125	-4.328882	TRUE
FH	RT1	-3.421118	-1.46875	0.483618	FALSE
FH	RT2	-3.004451	-1.052083	0.900284	FALSE
NM	RJ	-3.858618	-1.90625	0.046118	FALSE
NM	RT1	0.953882	2.90625	4.858618	TRUE
NM	RT2	1.370549	3.322917	5.275284	TRUE
RJ	RT1	2.860132	4.8125	6.764868	TRUE
RJ	RT2	3.276799	5.229167	7.181534	TRUE
RT1	RT2	-1.535701	0.416667	2.369034	FALSE

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Task II: "Queries as Variations" Summary Results

Mean precision data summarized over the 48 ground truth song groups.

Group	AU1	AU2	CS1	CS2	CS3	FH	NM	RJ	RT1	RT2
1	0.12	0.14	0.3	0.23	0.22	0.14	0.46	0.8	0.31	0.21
2	0.17	0.15	0.28	0.33	0.21	0.2	0.38	0.49	0.13	0.19
3	0.173	0.235	0.506	0.469	0.37	0.185	0.383	0.716	0.296	0.185
4	0.31	0.37	0.46	0.48	0.37	0.37	0.73	0.87	0.29	0.23
5	0.18	0.21	0.3	0.3	0.26	0.22	0.35	0.8	0.38	0.29
6	0.173	0.136	0.37	0.309	0.37	0.111	0.247	0.815	0.247	0.198
7	0.17	0.15	0.3	0.23	0.29	0.16	0.55	0.74	0.17	0.21
8	0.15	0.15	0.26	0.33	0.17	0.21	0.53	0.85	0.17	0.17
9	0.21	0.222	0.247	0.259	0.123	0.259	0.642	0.667	0.272	0.259
10	0.149	0.231	0.554	0.471	0.521	0.248	0.496	0.793	0.215	0.231
11	0.156	0.221	0.62	0.659	0.598	0.221	0.535	0.886	0.548	0.31
12	0.226	0.364	0.889	0.849	0.744	0.362	0.722	0.946	0.769	0.375
13	0.21	0.248	0.58	0.73	0.32	0.39	0.753	0.923	0.508	0.542
14	0.279	0.396	0.825	0.79	0.601	0.519	0.874	0.941	0.49	0.684
15	0.109	0.129	0.316	0.223	0.285	0.113	0.309	0.758	0.176	0.133
16	0.267	0.49	0.886	0.855	0.883	0.391	0.773	0.962	0.672	0.621
17	0.13	0.137	0.376	0.531	0.245	0.215	0.703	0.953	0.357	0.303
18	0.24	0.355	0.876	0.85	0.58	0.473	0.89	0.989	0.457	0.558
19	0.24	0.448	0.856	0.874	0.585	0.551	0.92	0.96	0.513	0.66
20	0.151	0.209	0.614	0.7	0.28	0.396	0.932	0.988	0.649	0.526
21	0.102	0.134	0.219	0.353	0.129	0.257	0.653	0.817	0.239	0.37
22	0.212	0.313	0.859	0.835	0.664	0.394	0.854	0.967	0.667	0.373
23	0.117	0.199	0.524	0.609	0.384	0.239	0.436	0.884	0.322	0.209
24	0.113	0.147	0.341	0.555	0.188	0.24	0.786	0.902	0.607	0.457
25	0.144	0.21	0.363	0.641	0.31	0.404	0.8	0.865	0.263	0.402
26	0.125	0.171	0.543	0.553	0.244	0.245	0.668	0.811	0.19	0.308
27	0.088	0.146	0.502	0.519	0.343	0.144	0.374	0.953	0.38	0.214
28	0.085	0.104	0.149	0.294	0.046	0.266	0.655	0.843	0.292	0.402
29	0.128	0.161	0.253	0.398	0.127	0.297	0.746	0.932	0.241	0.419
30	0.194	0.334	0.725	0.677	0.51	0.407	0.83	0.961	0.585	0.478
31	0.173	0.277	0.921	0.841	0.65	0.267	0.752	0.975	0.61	0.303
32	0.134	0.214	0.635	0.77	0.399	0.268	0.816	0.942	0.635	0.363
33	0.102	0.142	0.463	0.606	0.085	0.211	0.718	0.944	0.544	0.249
34	0.162	0.218	0.389	0.667	0.266	0.462	0.902	0.986	0.492	0.718
35	0.105	0.147	0.396	0.495	0.265	0.266	0.79	0.981	0.232	0.423
36	0.092	0.144	0.51	0.462	0.329	0.146	0.46	0.763	0.144	0.217
37	0.141	0.159	0.478	0.499	0.329	0.151	0.35	0.905	0.185	0.153
38	0.153	0.209	0.618	0.686	0.424	0.323	0.737	0.934	0.662	0.497
39	0.18	0.246	0.806	0.878	0.707	0.231	0.748	0.952	0.694	0.357
40	0.139	0.177	0.448	0.597	0.206	0.292	0.925	0.937	0.509	0.547
41	0.131	0.265	0.719	0.679	0.542	0.257	0.608	0.955	0.502	0.343
42	0.162	0.213	0.74	0.726	0.507	0.227	0.643	0.918	0.451	0.198
43	0.17	0.251	0.671	0.758	0.486	0.286	0.754	0.936	0.474	0.324
44	0.12	0.172	0.686	0.617	0.541	0.176	0.584	0.952	0.381	0.264
45	0.111	0.135	0.511	0.592	0.432	0.12	0.486	0.916	0.292	0.149
46	0.097	0.129	0.192	0.319	0.136	0.215	0.466	0.849	0.216	0.222
47	0.067	0.088	0.164	0.2	0.102	0.114	0.224	0.721	0.138	0.086
48	0.097	0.111	0.085	0.176	0.038	0.142	0.523	0.861	0.245	0.153

download these results as csv

Raw Scores

The raw data are located on the 2006:Query-by-Singing/Humming Raw Data page.