Difference between revisions of "2024:Lyrics-to-Audio Alignment Results"

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(Created page with " = Submissions = {| class="wikitable" |- style="font-weight:bold;" ! style="vertical-align:bottom;" | Sub Code ! Extended Abstract ! Contributors ! Methods |- | style="verti...")
 
 
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|- style="vertical-align:bottom;"
 
|- style="vertical-align:bottom;"
 
| style="text-align:left;" | NUS
 
| style="text-align:left;" | NUS
| 0.217
+
| '''0.217'''
| 0.046
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| '''0.046'''
| 0.751
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| '''0.751'''
| 0.945
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| '''0.945'''
 
|}
 
|}
  
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|- style="vertical-align:bottom;"
 
|- style="vertical-align:bottom;"
 
| style="text-align:left;" | FZZ1
 
| style="text-align:left;" | FZZ1
| 0.584
+
| '''0.584'''
 
| 0.252
 
| 0.252
| 0.683
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| '''0.683'''
| 0.887
+
| '''0.887'''
 
|- style="vertical-align:bottom;"
 
|- style="vertical-align:bottom;"
 
| style="text-align:left;" | NUS
 
| style="text-align:left;" | NUS
 
| 0.651
 
| 0.651
| 0.136
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| '''0.136'''
 
| 0.502
 
| 0.502
 
| 0.729
 
| 0.729
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|}
 
|}
  
=== Hansen's dataset a cappella ===
+
== Hansen's dataset a cappella ==
 +
 
 +
Notice that Hansen's dataset and Mauch's dataset overlap with commonly used training sets (e.g., DALI). The results are shown for reference only.
 +
 
 +
{| class="wikitable" style="text-align:right;"
 +
|- style="font-weight:bold; text-align:left;"
 +
! style="vertical-align:bottom;" | Group
 +
! style="vertical-align:bottom;" | Average absolute error
 +
! style="vertical-align:bottom;" | Median absolute error
 +
! style="vertical-align:bottom;" | Percentage of correct segments
 +
! Percentage of correct onsets with tolerance
 +
|- style="vertical-align:bottom;"
 +
| style="text-align:left;" | FZZ1
 +
| 0.101
 +
| 0.044
 +
| 0.783
 +
| 0.971
 +
|- style="vertical-align:bottom;"
 +
| style="text-align:left;" | NUS
 +
| 0.132
 +
| 0.031
 +
| 0.791
 +
| 0.965
 +
|}
 +
 
 +
== Hansen's dataset ==
 +
 
 +
Notice that Hansen's dataset and Mauch's dataset overlap with commonly used training sets (e.g., DALI). The results are shown for reference only.
 +
 
 +
{| class="wikitable" style="text-align:right;"
 +
|- style="font-weight:bold; text-align:left;"
 +
! style="vertical-align:bottom;" | Group
 +
! style="vertical-align:bottom;" | Average absolute error
 +
! style="vertical-align:bottom;" | Median absolute error
 +
! style="vertical-align:bottom;" | Percentage of correct segments
 +
! Percentage of correct onsets with tolerance
 +
|- style="vertical-align:bottom;"
 +
| style="text-align:left;" | FZZ1
 +
| 3.264
 +
| 3.604
 +
| 0.648
 +
| 0.870
 +
|- style="vertical-align:bottom;"
 +
| style="text-align:left;" | NUS
 +
| 0.107
 +
| 0.052
 +
| 0.764
 +
| 0.972
 +
|}
 +
 
 +
== Mauch's dataset ==
  
Results to be uploaded
+
Notice that Hansen's dataset and Mauch's dataset overlap with commonly used training sets (e.g., DALI). The results are shown for reference only.
 +
 
 +
{| class="wikitable" style="text-align:right;"
 +
|- style="font-weight:bold; text-align:left;"
 +
! style="vertical-align:bottom;" | Group
 +
! style="vertical-align:bottom;" | Average absolute error
 +
! style="vertical-align:bottom;" | Median absolute error
 +
! style="vertical-align:bottom;" | Percentage of correct segments
 +
! Percentage of correct onsets with tolerance
 +
|- style="vertical-align:bottom;"
 +
| style="text-align:left;" | FZZ1
 +
| 0.900
 +
| 0.122
 +
| 0.489
 +
| 0.844
 +
|- style="vertical-align:bottom;"
 +
| style="text-align:left;" | NUS
 +
| 0.192
 +
| 0.098
 +
| 0.478
 +
| 0.910
 +
|}
  
=== Hansen's dataset ===
+
== Per-song result ==
  
Results to be uploaded
+
Please see the [https://futuremirex.com/portal/wp-content/uploads/2024/11/lyrics_alignment_per_song_result.csv CSV] file.
  
=== Mauch's dataset ===
+
= Remarks =
  
Results to be uploaded
+
We want to thank to previous task captain Georgi Dzhambazov for the support on evaluation scripts and datasets, and Emir Demirel for his suggestions to the task.

Latest revision as of 08:48, 14 November 2024

Submissions

Sub Code Extended Abstract Contributors Methods
FZZ1 PDF Wanpeng Fan, Jiaye Zhu, Peng Zhong WavLM + Conformer
NUS (baseline) Link Xiaoxue Gao,Chitralekha Gupta, Haizhou Li Genre-informed Silence + Phone Model

Results

Jamendo V1

Jamendo V1 refers to the 20 English songs in the Jamendo dataset (https://github.com/f90/jamendolyrics) with old annotations. This is the dataset used in previous MIREXes to make a fair comparison with the previous submissions.

Group Average absolute error Median absolute error Percentage of correct segments Percentage of correct onsets with tolerance
FZZ1 0.547 0.047 0.686 0.912
NUS 0.217 0.046 0.751 0.945

Jamendo V2 MultiLang

Jamendo V2 contains all 79 songs in the Jamendo dataset (https://github.com/f90/jamendolyrics) with new annotations.

Group Average absolute error Median absolute error Percentage of correct segments Percentage of correct onsets with tolerance
FZZ1 0.584 0.252 0.683 0.887
NUS 0.651 0.136 0.502 0.729

Language-Specific Results

Jamendo V2 En

Group Average absolute error Median absolute error Percentage of correct segments Percentage of correct onsets with tolerance
FZZ1 0.619 0.143 0.698 0.896
NUS 0.216 0.046 0.784 0.947

Jamendo V2 Fr

Group Average absolute error Median absolute error Percentage of correct segments Percentage of correct onsets with tolerance
FZZ1 0.371 0.045 0.661 0.897
NUS 0.809 0.157 0.400 0.665

Jamendo V2 Gr

Group Average absolute error Median absolute error Percentage of correct segments Percentage of correct onsets with tolerance
FZZ1 0.371 0.045 0.661 0.897
NUS 0.809 0.157 0.400 0.665

Jamendo V2 Es

Group Average absolute error Median absolute error Percentage of correct segments Percentage of correct onsets with tolerance
FZZ1 0.452 0.039 0.703 0.905
NUS 0.969 0.230 0.392 0.613

Hansen's dataset a cappella

Notice that Hansen's dataset and Mauch's dataset overlap with commonly used training sets (e.g., DALI). The results are shown for reference only.

Group Average absolute error Median absolute error Percentage of correct segments Percentage of correct onsets with tolerance
FZZ1 0.101 0.044 0.783 0.971
NUS 0.132 0.031 0.791 0.965

Hansen's dataset

Notice that Hansen's dataset and Mauch's dataset overlap with commonly used training sets (e.g., DALI). The results are shown for reference only.

Group Average absolute error Median absolute error Percentage of correct segments Percentage of correct onsets with tolerance
FZZ1 3.264 3.604 0.648 0.870
NUS 0.107 0.052 0.764 0.972

Mauch's dataset

Notice that Hansen's dataset and Mauch's dataset overlap with commonly used training sets (e.g., DALI). The results are shown for reference only.

Group Average absolute error Median absolute error Percentage of correct segments Percentage of correct onsets with tolerance
FZZ1 0.900 0.122 0.489 0.844
NUS 0.192 0.098 0.478 0.910

Per-song result

Please see the CSV file.

Remarks

We want to thank to previous task captain Georgi Dzhambazov for the support on evaluation scripts and datasets, and Emir Demirel for his suggestions to the task.