File size: 1,455 Bytes
56be069
 
8f31d68
56be069
e77f67a
56be069
 
 
 
 
 
 
2dbc854
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
---
title: Count The Notes
emoji: 🎵
colorFrom: pink
colorTo: blue
sdk: gradio
sdk_version: 6.0.2
app_file: app.py
pinned: false
license: cc-by-4.0
---

# CountEM - Automatic Music Transcription

Upload a piano/music recording and transcribe it to MIDI using the CountEM framework.

## About

This is a Gradio demo for **CountEM**, a histogram-based supervision approach for Automatic Music Transcription (AMT) presented at ISMIR 2025.

**Paper:** [Count the Notes: Histogram-Based Supervision for Automatic Music Transcription](https://arxiv.org/abs/2511.14250)

## Models

- [countem-musicnet](https://huggingface.co/Yoni-Yaffe/countem-musicnet) - Trained on MusicNet dataset (recommended)
- [countem-synth](https://huggingface.co/Yoni-Yaffe/countem-synth) - Trained on synthetic data

## Links

- [GitHub Repository](https://github.com/Yoni-Yaffe/count-the-notes)
- [Project Page](https://yoni-yaffe.github.io/count-the-notes/)
- [ArXiv Paper](https://arxiv.org/abs/2511.14250)

## Citation

If you use this work, please cite:

```bibtex
@misc{yaffe2025countnoteshistogrambasedsupervision,
      title={Count The Notes: Histogram-Based Supervision for Automatic Music Transcription}, 
      author={Jonathan Yaffe and Ben Maman and Meinard Müller and Amit H. Bermano},
      year={2025},
      eprint={2511.14250},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2511.14250}, 
}
```


## License

CC-BY-4.0