Difference between revisions of "2024:Lyrics-to-Audio Alignment Results"
From MIREX Wiki
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| style="text-align:left;" | NUS | | style="text-align:left;" | NUS | ||
| − | | 0.217 | + | | '''0.217''' |
| − | | 0.046 | + | | '''0.046''' |
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| style="text-align:left;" | FZZ1 | | style="text-align:left;" | FZZ1 | ||
| − | | 0.584 | + | | '''0.584''' |
| 0.252 | | 0.252 | ||
| − | | 0.683 | + | | '''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 | + | | '''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 set (e.g, DALI). The results are shown for reference only. | ||
Results to be uploaded | Results to be uploaded | ||
Revision as of 11:00, 11 November 2024
Contents
Submissions
| Sub Code | Extended Abstract | Contributors | Methods |
|---|---|---|---|
| FZZ1 | 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 set (e.g, DALI). The results are shown for reference only.
Results to be uploaded
Hansen's dataset
Results to be uploaded
Mauch's dataset
Results to be uploaded
