Difference between revisions of "2006:Score Following Results"

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[[Category: Results]]
 
[[Category: Results]]
 
==Introduction==
 
==Introduction==
These are the results for the 2006 running of the Score Following task set. For background information about this task set please refer to the [[Score Following]] page.
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These are the results for the 2006 running of the Score Following task set. For background information about this task set please refer to the [[2006:Score Following]] page.
  
The aim of the Score Following task is the real-time alignment of incoming music signals to the music "score." In this task, 46 recordings and their corresponding MIDI representations of the score were used in the evaluation. These 46 excerpts were extracted from 4 distinct musical pieces. The algorithms were evaluated on their precision in matching events in the audio to the score.
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The aim of the Score Following task is the real-time alignment of incoming music signals to their music score. In this task, 46 recordings and their corresponding MIDI representations of the score were used in the evaluation. These 46 excerpts were extracted from 4 distinct musical pieces. The algorithms were evaluated on their precision in matching events in the audio to the score.
  
 
===General Legend===
 
===General Legend===
 
====Team ID====
 
====Team ID====
  
'''cont''' = [https://www.music-ir.org/evaluation/MIREX/2006_abstracts/SF_cont.pdf Arshia Cont and Diemo Schwarz]<br />
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'''cont''' = [https://www.music-ir.org/mirex/abstracts/2006/SF_cont.pdf Arshia Cont and Diemo Schwarz]<br />
'''puckette''' = [https://www.music-ir.org/evaluation/MIREX/2006_abstracts/SF_puckette.pdf Miller Puckette]<br />
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'''puckette''' = [https://www.music-ir.org/mirex/abstracts/2006/SF_puckette.pdf Miller Puckette]<br />
  
 
==Overall Summary Results==
 
==Overall Summary Results==
 
===MIREX 2006 Score Following Summary Results===
 
===MIREX 2006 Score Following Summary Results===
<csv>sf06_sum.csv</csv>
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<csv>2006/sf06_sum.csv</csv>
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===Results - Cont and Schwarz===
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<csv>2006/arshia_evaluation_results.csv</csv>
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===Results - Puckette===
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<csv>2006/mp_evaluation_results.csv</csv>

Latest revision as of 19:33, 13 May 2010

Introduction

These are the results for the 2006 running of the Score Following task set. For background information about this task set please refer to the 2006:Score Following page.

The aim of the Score Following task is the real-time alignment of incoming music signals to their music score. In this task, 46 recordings and their corresponding MIDI representations of the score were used in the evaluation. These 46 excerpts were extracted from 4 distinct musical pieces. The algorithms were evaluated on their precision in matching events in the audio to the score.

General Legend

Team ID

cont = Arshia Cont and Diemo Schwarz
puckette = Miller Puckette

Overall Summary Results

MIREX 2006 Score Following Summary Results

Contestant Total Precision Piecewise Precision
cont 82.90% 90.06%
puckette 29.75% 69.74%

download these results as csv

Results - Cont and Schwarz

Filename Event Count #Missed False Pos Average Offset Mean offset std_offset ave_latency missednote False Positive
mozart_dorabella.001 76 12 0 409.7 220.2 905.4 0 15.79% 0.00%
mozart_dorabella.002 76 12 0 304.5 117.3 647 0 15.79% 0.00%
mozart_dorabella.003 77 2 0 91.8 -40.4 148 0 2.60% 0.00%
mozart_dorabella.004 147 10 0 203.1 -0.4 444.3 0 6.80% 0.00%
mozart_k370.030 915 103 0 142.3 -69.2 231.4 0 11.26% 0.00%
mozart_k370.032 915 53 0 118.2 -31 324.3 0 5.79% 0.00%
mozart_k370.034 440 114 0 115.1 18.7 224.7 0 25.91% 0.00%
mozart_k370.036 440 115 0 167.4 65.6 407.8 0 26.14% 0.00%
s01 88 0 0 71.1 -59.7 69.2 0 0.00% 0.00%
s03 21 0 0 50.3 -45.2 28.7 0 0.00% 0.00%
s04 76 0 0 54.9 -54.9 16.5 0 0.00% 0.00%
s05 23 12 0 375.9 -375.9 690 0 52.17% 0.00%
s06 108 0 0 66.7 -66.7 11.4 0 0.00% 0.00%
s07 45 2 0 108.6 -108.2 64.4 0 4.44% 0.00%
s08 35 8 0 103 -103 34.3 0 22.86% 0.00%
s09 56 0 0 78.1 -78.1 15.6 0 0.00% 0.00%
s11 63 4 0 103.1 -5 257.1 0 6.35% 0.00%
s12 83 3 1 69.6 -70.5 15.6 0 3.61% 1.20%
s13 54 0 0 78.7 -78.7 16.1 0 0.00% 0.00%
s14 16 0 0 91.4 -91.4 23.6 0 0.00% 0.00%
s15 41 0 0 107.7 -82.2 85.1 0 0.00% 0.00%
s18 23 1 0 99.6 -99.6 30.2 0 4.35% 0.00%
s19 42 2 0 62.2 -62.2 27.1 0 4.76% 0.00%
s20 9 0 0 74.5 -74.5 58.2 0 0.00% 0.00%
t7-s01 57 1 0 83.7 -51.2 114.8 0 1.75% 0.00%
t7-s03 90 0 0 92.7 -78 72.8 0 0.00% 0.00%
t7-s05 40 0 0 91.7 -33.9 136 0 0.00% 0.00%
t7-s06 84 1 0 140.6 -55.3 189.2 0 1.19% 0.00%
t7-s08 53 0 0 93.1 -93.1 26.5 0 0.00% 0.00%
t7-s10 25 0 0 79.2 -70.1 41.2 0 0.00% 0.00%
t7-s12 126 10 0 77.4 -77.4 62.6 0 7.94% 0.00%
t7-s13 52 0 0 57.9 -57.9 22.5 0 0.00% 0.00%
t7-s14 37 3 0 515.2 365.2 1056.2 0 8.11% 0.00%
t7-s15 39 0 0 69.8 -69.8 23.3 0 0.00% 0.00%
t7-s16 98 3 0 147.1 -87.4 181.2 0 3.06% 0.00%
t7-s17 51 0 0 81 -58.9 83.1 0 0.00% 0.00%
t7-s18 90 6 0 70 -70 49.8 0 6.67% 0.00%
t7-s19 93 2 0 138.4 -123.3 156 0 2.15% 0.00%
t7-s20 34 0 0 100.1 -100.1 34.8 0 0.00% 0.00%
t7-s21 92 3 0 114 -97.4 73.4 0 3.26% 0.00%
t7-s22 117 8 0 85.4 -56.3 138.8 0 6.84% 0.00%
t7-s23 20 12 0 1278.9 -1278.9 2420.4 0 60.00% 0.00%
t7-s25 41 6 0 126.2 -126.2 42 0 14.63% 0.00%
vs1-1ada 364 335 197 258.5 1891.7 2070.3 0 92.03% 54.12%
vs1-4prs 1595 428 0 1997.1 18.1 4289.7 0 26.83% 0.00%
vs2-4alg 2037 286 0 604.7 598.6 371.5 0 14.04% 0.00%

download these results as csv

Results - Puckette

Filename Event Count #Missed False Pos Average Offset Mean offset std_offset ave_latency missednote False Positive
mozart_dorabella.001 76 37 3 940 916.2 1689.1 20 48.68% 3.95%
mozart_dorabella.002 76 31 0 1500.1 1464.1 2035.7 20 40.79% 0.00%
mozart_dorabella.003 77 45 11 1661.3 2196.9 1697.2 20 58.44% 14.29%
mozart_dorabella.004 147 57 3 687.1 627.5 1145.3 20 38.78% 2.04%
mozart_k370.030 915 890 162 237.6 1777.3 998.1 20 97.27% 17.70%
mozart_k370.032 915 891 159 238 1814.8 1080.7 20 97.38% 17.38%
mozart_k370.034 440 93 0 142.7 45.7 468.9 20 21.14% 0.00%
mozart_k370.036 440 106 0 123.7 29.2 370.8 20 24.09% 0.00%
s01 88 8 0 54.1 -50.7 48.7 19.9 9.09% 0.00%
s03 21 3 0 132.5 63.8 300.4 19.6 14.29% 0.00%
s04 76 12 0 141.3 51.8 539.5 19.9 15.79% 0.00%
s05 23 5 0 168.7 -79.7 279.1 20 21.74% 0.00%
s06 108 12 0 121.5 22.1 351.9 19.9 11.11% 0.00%
s07 45 17 0 665.4 -280.2 1184.1 20 37.78% 0.00%
s08 35 20 0 1488.3 1447.5 1998.5 19.5 57.14% 0.00%
s09 56 8 1 253.9 133.8 996.4 19.8 14.29% 1.79%
s11 63 16 0 142.1 53.4 493.5 19.8 25.40% 0.00%
s12 83 24 1 344.3 44.6 859.1 20 28.92% 1.20%
s13 54 12 0 479.5 385 1024 19.8 22.22% 0.00%
s14 16 5 0 329 -153.2 727.3 19.3 31.25% 0.00%
s15 41 3 0 157.3 2.9 368.7 19.8 7.32% 0.00%
s18 23 12 5 282 -410.2 1100.7 19.8 52.17% 21.74%
s19 42 12 3 171.2 37 635.7 19.8 28.57% 7.14%
s20 9 4 0 174.6 -174.6 207.7 20 44.44% 0.00%
t7-s01 57 6 0 99.1 -12.2 187.1 19.8 10.53% 0.00%
t7-s03 90 8 0 129.5 -31.2 196.2 20 8.89% 0.00%
t7-s05 40 6 0 74.6 -20.4 161.6 20 15.00% 0.00%
t7-s06 84 7 0 78.7 5.9 176.1 19.9 8.33% 0.00%
t7-s08 53 7 1 135.4 -5.8 268.9 20 13.21% 1.89%
t7-s10 25 1 0 206.7 1.3 423.8 19.9 4.00% 0.00%
t7-s12 126 21 0 160.3 88.1 673.8 20 16.67% 0.00%
t7-s13 52 9 0 282.8 211.2 803.8 20 17.31% 0.00%
t7-s14 37 22 5 1407.4 1809.1 2239.3 19.9 59.46% 13.51%
t7-s15 39 3 0 45.1 -45.1 21.6 20 7.69% 0.00%
t7-s16 98 4 0 60.6 -52.3 60.8 19.9 4.08% 0.00%
t7-s17 51 2 0 58.4 -57.8 32.1 19.8 3.92% 0.00%
t7-s18 90 8 0 76.2 -23.1 182.6 20 8.89% 0.00%
t7-s19 93 5 0 111.9 -30 207.4 20 5.38% 0.00%
t7-s20 34 7 0 408.4 279 826.8 20 20.59% 0.00%
t7-s21 92 8 0 80.7 -36.3 114.1 20 8.70% 0.00%
t7-s22 117 19 1 77.9 -15 151 20 16.24% 0.85%
t7-s23 20 4 0 552.1 446.2 1126.8 20 20.00% 0.00%
t7-s25 41 0 0 71.7 -68.3 34.9 20 0.00% 0.00%
vs1-1ada 364 358 146 145 3645 2856.4 20 98.35% 40.11%
vs1-4prs 1595 1568 550 147.7 3146.6 1717 20 98.31% 34.48%
vs2-4alg 2037 2000 847 119.2 2848.9 1590.1 20 98.18% 41.58%

download these results as csv