2025:Audio Chord Estimation Results
From MIREX Wiki
Contents
Submissions
Submission | Title | Authors | |
---|---|---|---|
Baseline: Chordino | NNLS Chroma v1.1 | Link | |
Baseline: ISMIR2019 | Large-Vocabulary Chord Transcription via Chord Structure Decomposition | Link | |
MD1 | Degree-Based Automatic Chord Recognition with Enharmonic Distinction | TBA | Masayuki Doai |
wu-ensemble | wu-ensemble | TBA | Yiwei Ding, Christof Weiß |
wu-single | wu-single | TBA | Yiwei Ding, Christof Weiß |
YK1 | Semi-Supervised Audio Chord Estimator Based on Disentangled Generative Modeling | TBA | Yiming Wu, Kento Yoshida |
BMACE | A Mamba-Based Model for Automatic Chord Recognition | TBA | Chunyu Yuan, Jiyeoung Sim, Johanna Devaney |
Test Sets
Main Test Sets
The following datasets are served as pure test sets. No system is allowed to train on them.
- Billboard 2013: The held-out portion of the McGill Billboard dataset, containing mainly western pop songs from the Billboard chart.
- Yamaha_JPOP: A private dataset annotated by Yamaha Corporation. The dataset contains 200 JPOP songs.
- Yamaha_Balanced: A private dataset annotated by Yamaha Corporation. The dataset contains 241 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%).
Additional Test Sets
These are datasets that may not be strictly held-out test sets. Some models might have been trained on these datasets; for specific details, please refer to the extended abstracts of each model.
- Billboard 2012: The public portion of the McGill Billboard dataset.
- RWC Popular: 100 pop songs from the RWC (Real World Computing) Music Database. 20% songs with English lyrics and 80% songs with Japanese lyrics.
Main Results
The following datasets are served as pure test sets. No system is allowed to train on them.
Billboard2013
Group | MirexRoot | MirexMajMin | MirexMajMinBass | MirexSevenths | MirexSeventhsBass | MeanSeg | UnderSeg | OverSeg |
---|---|---|---|---|---|---|---|---|
BMACE | 55.72 | 8.88 | 8.70 | 2.52 | 2.45 | 68.16 | 90.86 | 56.60 |
MD1 | 81.35 | 79.15 | 77.91 | 66.40 | 65.33 | 86.17 | 85.50 | 88.89 |
YK1 | 81.01 | 78.10 | 75.41 | 64.53 | 62.05 | 85.50 | 85.08 | 87.49 |
wu-ensemble | 74.64 | 71.97 | 70.72 | 55.06 | 53.96 | 83.19 | 86.29 | 82.20 |
wu-single | 75.77 | 73.14 | 71.74 | 55.41 | 54.15 | 83.16 | 85.44 | 83.08 |
Baseline: Chordino | 71.06 | 67.18 | 65.09 | 48.88 | 47.06 | 81.60 | 83.14 | 82.71 |
Baseline: ISMIR2019 | 78.61 | 76.39 | 74.72 | 64.15 | 62.65 | 83.39 | 78.57 | 92.78 |
YAMAHA_Balanced
Group | MirexRoot | MirexMajMin | MirexMajMinBass | MirexSevenths | MirexSeventhsBass | MeanSeg | UnderSeg | OverSeg |
---|---|---|---|---|---|---|---|---|
BMACE | 58.92 | 12.59 | 12.29 | 4.52 | 4.34 | 71.62 | 91.05 | 60.47 |
MD1 | 81.83 | 80.22 | 78.87 | 64.13 | 63.14 | 88.09 | 88.67 | 88.47 |
YK1 | 82.53 | 79.71 | 75.60 | 66.02 | 62.31 | 88.94 | 89.78 | 89.33 |
wu-ensemble | 82.54 | 81.29 | 78.99 | 62.84 | 60.84 | 87.48 | 88.68 | 87.43 |
wu-single | 81.37 | 79.69 | 77.61 | 61.60 | 59.84 | 87.03 | 89.81 | 85.89 |
Baseline: Chordino | 77.57 | 74.64 | 71.59 | 56.38 | 53.90 | 86.51 | 87.25 | 87.48 |
Baseline: ISMIR2019 | 82.00 | 81.16 | 79.69 | 66.97 | 65.77 | 89.04 | 86.43 | 93.49 |
YAMAHA_JPop
Group | MirexRoot | MirexMajMin | MirexMajMinBass | MirexSevenths | MirexSeventhsBass | MeanSeg | UnderSeg | OverSeg |
---|---|---|---|---|---|---|---|---|
BMACE | 52.38 | 11.90 | 11.65 | 2.37 | 2.23 | 71.98 | 90.23 | 60.42 |
MD1 | 79.34 | 77.10 | 76.07 | 55.59 | 54.71 | 88.00 | 88.13 | 88.20 |
YK1 | 80.13 | 77.03 | 72.85 | 61.24 | 57.26 | 89.42 | 89.71 | 89.49 |
wu-ensemble | 79.58 | 77.58 | 75.57 | 54.36 | 52.58 | 87.22 | 88.44 | 86.55 |
wu-single | 78.87 | 76.56 | 74.66 | 55.35 | 53.60 | 87.19 | 89.30 | 85.70 |
Baseline: Chordino | 74.49 | 71.99 | 69.24 | 52.40 | 49.97 | 86.66 | 85.89 | 88.28 |
Baseline: ISMIR2019 | 81.49 | 79.99 | 78.58 | 62.81 | 61.61 | 90.09 | 87.21 | 93.88 |
Additional Results
Below are results on datasets that may not be strictly held-out test sets. Some models might have been trained on these datasets; for specific details, please refer to the extended abstracts of each model.
Billboard2012
Group | MirexRoot | MirexMajMin | MirexMajMinBass | MirexSevenths | MirexSeventhsBass | MeanSeg | UnderSeg | OverSeg |
---|---|---|---|---|---|---|---|---|
BMACE | 58.45 | 9.13 | 9.00 | 2.91 | 2.86 | 69.55 | 92.02 | 57.41 |
MD1 | 85.11 | 83.98 | 82.76 | 74.12 | 73.12 | 88.80 | 88.63 | 89.78 |
YK1 | 85.90 | 84.66 | 81.81 | 77.22 | 74.45 | 88.43 | 87.88 | 89.58 |
wu-ensemble | 78.26 | 77.15 | 75.58 | 59.99 | 58.79 | 84.42 | 87.98 | 82.57 |
wu-single | 79.23 | 78.21 | 76.76 | 60.23 | 59.07 | 84.87 | 87.19 | 84.24 |
Baseline: Chordino | 74.04 | 72.11 | 70.05 | 55.24 | 53.28 | 83.69 | 85.33 | 83.48 |
RWC-Popular
Group | MirexRoot | MirexMajMin | MirexMajMinBass | MirexSevenths | MirexSeventhsBass | MeanSeg | UnderSeg | OverSeg |
---|---|---|---|---|---|---|---|---|
BMACE | 56.48 | 11.97 | 11.78 | 2.41 | 2.30 | 72.59 | 90.92 | 61.06 |
MD1 | 83.98 | 81.18 | 79.42 | 66.53 | 64.83 | 88.53 | 88.53 | 88.84 |
YK1 | 88.76 | 87.27 | 81.14 | 76.88 | 70.90 | 91.90 | 91.55 | 92.43 |
wu-ensemble | 81.87 | 80.30 | 77.58 | 62.65 | 60.25 | 87.51 | 89.95 | 85.65 |
wu-single | 82.48 | 81.35 | 78.48 | 62.86 | 60.28 | 87.81 | 89.47 | 86.64 |
Baseline: Chordino | 78.97 | 77.78 | 74.13 | 63.15 | 59.72 | 88.64 | 88.07 | 89.76 |
Task Captain's Note
- Results on Billboard & RWC Popular are competible with previous years.
- Evaluation tools: https://github.com/ismir-mirex/ace-task-captain-note
- Model Raw outputs: https://github.com/ismir-mirex/ace-output
- Detailed evaluation results: https://github.com/ismir-mirex/ace-results