Difference between revisions of "2025:Audio Beat Tracking Results"
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| KG-ApolloBeats | | KG-ApolloBeats | ||
| The 2025 KG Music Beats Tracking System | | The 2025 KG Music Beats Tracking System | ||
+ | | TBA | ||
+ | | DingKun Xiao, Haijun Cai, Chuanyi Chen | ||
+ | |- | ||
+ | | KG2 | ||
+ | | Same as KG-ApolloBeats, but not trained on SMC or GTZAN | ||
| TBA | | TBA | ||
| DingKun Xiao, Haijun Cai, Chuanyi Chen | | DingKun Xiao, Haijun Cai, Chuanyi Chen | ||
|- | |- | ||
| BeatU | | BeatU | ||
− | | | + | | Beat-U: Multi-Task Music Understanding with Hierarchical Timescales |
| TBA | | TBA | ||
− | | | + | | YAMAHA Corporation |
|} | |} | ||
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* '''GTZAN''': 999 songs from the GTZAN dataset (starting from next year, training on GTZAN will be disallowed) | * '''GTZAN''': 999 songs from the GTZAN dataset (starting from next year, training on GTZAN will be disallowed) | ||
* '''SMC''': 217 songs from the SMC collection | * '''SMC''': 217 songs from the SMC collection | ||
− | * '''Yamaha_JPOP''': A private dataset annotated by Yamaha Corporation. The dataset contains | + | * '''Yamaha_JPOP''': A private dataset annotated by Yamaha Corporation. The dataset contains 250 JPOP songs. |
− | * '''Yamaha_Balanced''': A private dataset annotated by Yamaha Corporation. The dataset contains | + | * '''Yamaha_Balanced''': A private dataset annotated by Yamaha Corporation. The dataset contains 239 songs. While it is still biased towards JPOP songs, the dataset covers a wider range of genres: J.Pop (10.37%), Rock (10.37%), J.Enka (10.37%), J.Kayoukyoku (10.37%), Soundtrack (10.37%), Western Pop (10.37%), Children's Song (10.37%), R&B (6.22%), Hiphop (4.56%), Jazz (2.49%), Dance (2.49%), World (2.07%), Techno (1.24%), Easy listening (1.24%), J.Minyou (1.24%), Others (5.81%). |
− | |||
== GTZAN == | == GTZAN == | ||
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| 86.86 | | 86.86 | ||
| 92.77 | | 92.77 | ||
+ | |- style="vertical-align:bottom;" | ||
+ | | style="text-align:left;" | KG2 | ||
+ | | 88.21 | ||
+ | | 76.45 | ||
+ | | 75.28 | ||
+ | | 88.38 | ||
+ | | 78.48 | ||
+ | | 81.05 | ||
+ | | 88.63 | ||
+ | | 92.18 | ||
|- style="vertical-align:bottom;" | |- style="vertical-align:bottom;" | ||
| style="text-align:left;" | Baseline: BeatThis | | style="text-align:left;" | Baseline: BeatThis | ||
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| 86.69 | | 86.69 | ||
|} | |} | ||
+ | |||
Entries with [*] are trained on this dataset. | Entries with [*] are trained on this dataset. | ||
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| 55.96 | | 55.96 | ||
| 76.22 | | 76.22 | ||
+ | |- style="vertical-align:bottom;" | ||
+ | | style="text-align:left;" | KG2 | ||
+ | | 58.55 | ||
+ | | 45.08 | ||
+ | | 25.81 | ||
+ | | 68.36 | ||
+ | | 39.14 | ||
+ | | 50.80 | ||
+ | | 46.81 | ||
+ | | 61.45 | ||
|- style="vertical-align:bottom;" | |- style="vertical-align:bottom;" | ||
| style="text-align:left;" | Baseline: BeatThis* | | style="text-align:left;" | Baseline: BeatThis* | ||
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| 29.48 | | 29.48 | ||
|} | |} | ||
− | |||
Entries with [*] are trained on this dataset. | Entries with [*] are trained on this dataset. | ||
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| 85.29 | | 85.29 | ||
|} | |} | ||
+ | |||
+ | == Comparison with Previous MIREXes == | ||
+ | |||
+ | Since this year we have switched to using mir_eval for evaluation, some results may differ from those in previous MIREX editions due to differences in implementation. We confirm that the following metrics remain comparable with previous MIREX results: | ||
+ | |||
+ | * Comparable: F1, Goto, CMLc, CMLt, AMLc, AMLt. | ||
+ | * Not comparable: Cemgil, P-score. |
Latest revision as of 00:09, 14 September 2025
Contents
Submissions
This page is still WIP. More submissions might appear later.
Submission | Title | Authors | |
---|---|---|---|
Baseline: CD1 | QM Tempo Tracker | Link | |
Baseline: BeatThis | Beat This! Accurate Beat Tracking Without DBN Postprocessing | Link | |
KG-ApolloBeats | The 2025 KG Music Beats Tracking System | TBA | DingKun Xiao, Haijun Cai, Chuanyi Chen |
KG2 | Same as KG-ApolloBeats, but not trained on SMC or GTZAN | TBA | DingKun Xiao, Haijun Cai, Chuanyi Chen |
BeatU | Beat-U: Multi-Task Music Understanding with Hierarchical Timescales | TBA | YAMAHA Corporation |
Test Sets
- GTZAN: 999 songs from the GTZAN dataset (starting from next year, training on GTZAN will be disallowed)
- SMC: 217 songs from the SMC collection
- Yamaha_JPOP: A private dataset annotated by Yamaha Corporation. The dataset contains 250 JPOP songs.
- Yamaha_Balanced: A private dataset annotated by Yamaha Corporation. The dataset contains 239 songs. While it is still biased towards JPOP songs, the dataset covers a wider range of genres: J.Pop (10.37%), Rock (10.37%), J.Enka (10.37%), J.Kayoukyoku (10.37%), Soundtrack (10.37%), Western Pop (10.37%), Children's Song (10.37%), R&B (6.22%), Hiphop (4.56%), Jazz (2.49%), Dance (2.49%), World (2.07%), Techno (1.24%), Easy listening (1.24%), J.Minyou (1.24%), Others (5.81%).
GTZAN
Group | F1 | Cemgil | Goto | P-score | CMLc | CMLt | AMLc | AMLt |
---|---|---|---|---|---|---|---|---|
BeatU | 84.93 | 68.23 | 64.06 | 84.27 | 71.07 | 75.26 | 78.78 | 84.27 |
KG-ApolloBeats* | 92.53 | 80.66 | 79.38 | 93.55 | 83.44 | 88.49 | 86.86 | 92.77 |
KG2 | 88.21 | 76.45 | 75.28 | 88.38 | 78.48 | 81.05 | 88.63 | 92.18 |
Baseline: BeatThis | 89.02 | 80.15 | 72.27 | 88.00 | 76.00 | 79.64 | 84.63 | 90.01 |
Baseline: CD1 | 81.19 | 69.64 | 62.06 | 79.97 | 65.02 | 66.94 | 83.08 | 86.69 |
Entries with [*] are trained on this dataset.
The baseline BeatThis reports different results compared to the paper because it uses a different number of test songs (999 vs. 993).
SMC
Group | F1 | Cemgil | Goto | P-score | CMLc | CMLt | AMLc | AMLt |
---|---|---|---|---|---|---|---|---|
BeatU | 53.14 | 40.67 | 14.75 | 63.52 | 27.24 | 41.16 | 30.88 | 47.44 |
KG-ApolloBeats* | 74.15 | 57.07 | 32.72 | 84.51 | 53.73 | 72.66 | 55.96 | 76.22 |
KG2 | 58.55 | 45.08 | 25.81 | 68.36 | 39.14 | 50.80 | 46.81 | 61.45 |
Baseline: BeatThis* | 71.81 | 55.64 | 27.19 | 82.91 | 49.78 | 69.89 | 51.15 | 72.30 |
Baseline: CD1 | 33.66 | 26.29 | 6.91 | 45.10 | 9.88 | 13.12 | 17.99 | 29.48 |
Entries with [*] are trained on this dataset.
YAMAHA_Balanced
Group | F1 | Cemgil | Goto | P-score | CMLc | CMLt | AMLc | AMLt |
---|---|---|---|---|---|---|---|---|
BeatU | 92.55 | 82.28 | 89.12 | 93.57 | 83.62 | 90.15 | 85.84 | 93.11 |
KG-ApolloBeats | 91.97 | 81.29 | 88.28 | 92.54 | 79.91 | 88.30 | 82.26 | 91.79 |
Baseline: BeatThis | 90.59 | 79.43 | 81.59 | 91.42 | 64.94 | 84.52 | 66.87 | 87.73 |
Baseline: CD1 | 76.43 | 67.85 | 64.44 | 74.42 | 55.13 | 59.47 | 71.86 | 83.63 |
YAMAHA_JPop
Group | F1 | Cemgil | Goto | P-score | CMLc | CMLt | AMLc | AMLt |
---|---|---|---|---|---|---|---|---|
BeatU | 96.58 | 88.94 | 95.20 | 96.73 | 92.32 | 94.46 | 94.65 | 97.05 |
KG-ApolloBeats | 95.39 | 86.66 | 93.20 | 94.63 | 82.87 | 90.54 | 84.72 | 93.48 |
Baseline: BeatThis | 94.00 | 84.08 | 86.80 | 93.15 | 69.66 | 86.64 | 71.39 | 89.57 |
Baseline: CD1 | 77.38 | 70.76 | 64.40 | 73.55 | 54.98 | 58.71 | 77.28 | 85.29 |
Comparison with Previous MIREXes
Since this year we have switched to using mir_eval for evaluation, some results may differ from those in previous MIREX editions due to differences in implementation. We confirm that the following metrics remain comparable with previous MIREX results:
- Comparable: F1, Goto, CMLc, CMLt, AMLc, AMLt.
- Not comparable: Cemgil, P-score.