Difference between revisions of "2018:Automatic Lyrics-to-Audio Alignment Results"

From MIREX Wiki
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==Subtask2: English pop songs==
 
==Subtask2: English pop songs==
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===Hansen's dataset a cappella===
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===Hansen's dataset a cappella===
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====Summary Results====
 
<csv>2018/ala/hansen/clean/summary_hansen_clean.csv</csv>
 
<csv>2018/ala/hansen/clean/summary_hansen_clean.csv</csv>
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====Per-track results====
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CW2
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<csv>2018/ala/hansen/clean/CW2_hansen_clean.csv</csv>
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CW3
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<csv>2018/ala/hansen/clean/CW3_hansen_clean.csv</csv>
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GSLW1
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<csv>2018/ala/hansen/clean/GSLW1_hansen_clean.csv</csv>
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GSLW2
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<csv>2018/ala/hansen/clean/GSLW2_hansen_clean.csv</csv>
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GSLW3
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<csv>2018/ala/hansen/clean/GSLW3_hansen_clean.csv</csv>
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===Hansen's dataset mixed===
 
===Hansen's dataset mixed===
 
===Mauch's dataset===
 
===Mauch's dataset===
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===Gracenote dataset a cappella===
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===Gracenote dataset===
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===Gracenote dataset mixed===
 

Revision as of 05:53, 4 November 2018

General Legend

Sub code Submission name Abstract Contributors
CW1 HMM-based Alignment subtask1 [PDF] Chung-Che Wang
CW2 HMM-based Alignment monophone acoustic models subtask2 PDF Chung-Che Wang
CW3 HMM-based Alignment bi-phone acoustic models subtask2 PDF Chung-Che Wang
GSLW1 GMM-HMM (SAT) Models subtask2 PDF Chitralekha Gupta, Bidisha Sharma, Haizhou Li, Ye Wang
GSLW2 SAT+DNN Models subtask2 PDF Chitralekha Gupta, Bidisha Sharma, Haizhou Li, Ye Wang
GSLW3 Non-vocal suppression and SAT Models subtask 2 PDF Chitralekha Gupta, Bidisha Sharma, Haizhou Li, Ye Wang
FFJ1 subtask 1 & 2 [PDF] Yang-Bin Dell Fan, Zhe-Cheng Fan, Jyh-Shing Roger Jang

Results

Subtask1: A cappella Mandarin Chinese pop songs

Source-separated

Mixed

Subtask2: English pop songs

Hansen's dataset a cappella

Summary Results

Submission Mean ASE Mean PCS Mean PCETW
CW2 0.35 0.65 0.79
CW3 0.47 0.62 0.81
GSLW1 2.66 0.39 0.48
GSLW2 2.90 0.35 0.40
GSLW3 5.80 0.31 0.31

download these results as csv

Per-track results

CW2

Track ASE PCS PCETW
Madonna-Beautiful_Stranger_full_ending 0.31 0.570093890373057 0.777372262773723
i_kissed_a_girl 0.2 0.703915182929027 0.848484848484848
clocks_cut 0.19 0.790849995302038 0.835294117647059
rehab 0.17 0.805194335473958 0.865131578947369
rolling_in_the_deep 0.82 0.481665469290785 0.680555555555556
sunrise 0.52 0.513409547058522 0.672
this_afternoon 0.18 0.68360542512406 0.895555555555555
trick_me 0.5 0.530746028428777 0.772413793103448
umbrella 0.52 0.546212118854114 0.72
viva_la_vida 0.13 0.842945012210246 0.879432624113475

download these results as csv

CW3

Track ASE PCS PCETW
Madonna-Beautiful_Stranger_full_ending 0.32 0.545755317403897 0.744525547445255
i_kissed_a_girl 0.25 0.674245470835476 0.837121212121212
clocks_cut 0.15 0.767154471687807 0.894117647058824
rehab 0.13 0.796814864279409 0.898026315789474
rolling_in_the_deep 0.57 0.522259080218718 0.727777777777778
sunrise 1.72 0.267711468622025 0.504
this_afternoon 0.15 0.683714791923987 0.915555555555556
trick_me 0.86 0.562015684740021 0.875862068965517
umbrella 0.4 0.616793375576461 0.8425
viva_la_vida 0.17 0.78921921137274 0.875886524822695

download these results as csv

GSLW1

Track ASE PCS PCETW
Madonna-Beautiful_Stranger_full_ending 0.27 0.543259128122919 0.805860805860806
i_kissed_a_girl 0.11 0.763207570129874 0.946969696969697
clocks_cut 0.63 0.554917222456744 0.905882352941176
rehab 2.07 0.071219687000756 0.05921052631579
rolling_in_the_deep 3.15 0.009252640391624 0.027777777777778
sunrise 3.68 0.127399217474657 0.08
this_afternoon 13.61 0 0
trick_me 2.97 0.080867269977835 0
umbrella 0.08 0.795244553082193 0.97323600973236
viva_la_vida 0.04 0.926735844657678 0.98936170212766

download these results as csv

GSLW2

Track ASE PCS PCETW
Madonna-Beautiful_Stranger_full_ending 0.48 0.47449184033124 0.684981684981685
i_kissed_a_girl 0.34 0.647207424371483 0.829545454545455
clocks_cut 2.33 0.570135233602421 0.717647058823529
rehab 0.85 0.144820599809062 0.006578947368421
rolling_in_the_deep 3.19 0.016695413804996 0.013888888888889
sunrise 4.44 0.041273457518474 0.008
this_afternoon 13.66 0.006072269630639 0
trick_me 2.98 0.058593676899486 0.006896551724138
umbrella 0.48 0.788270711351441 0.788321167883212
viva_la_vida 0.2 0.766924833336262 0.968085106382979

download these results as csv

GSLW3

Track ASE PCS PCETW
Madonna-Beautiful_Stranger_full_ending 19.85 0.002186924613191 0
i_kissed_a_girl 7.61 0.026256826598641 0.035294117647059
clocks_cut 0.85 0.144820599809062 0.006578947368421
rehab 9.5 0.010902142506288 0.013888888888889
rolling_in_the_deep 4 0.186314997894924 0
sunrise 13.06 0.028738675715158 0.057777777777778
this_afternoon 2.97 0.080867269977835 0
trick_me 0.08 0.795244553082193 0.97323600973236
umbrella 0.04 0.926735844657678 0.98936170212766
viva_la_vida 0.04 0.926735844658 0.99

download these results as csv


Hansen's dataset mixed

Mauch's dataset

Gracenote dataset

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