Metadata-Version: 2.1
Name: peamt
Version: 0.1
Summary: PEAMT: a Perceptual Evaluation metric for Automatic Music Transcription
Home-page: https://github.com/adrienycart/PEAMT
Author: Adrien Ycart
Author-email: adrien.ycart@gmail.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/adrienycart/PEAMT/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pretty-midi (==0.2.8)
Requires-Dist: mir-eval


# PEAMT

This package contains code to run PEAMT, a Perceptual Evaluation metric for Automatic Music Transcription.
If you use any of this, please cite:

Adrien Ycart, Lele Liu, Emmanouil Benetos and Marcus Pearce, 2020. ["Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription"](https://transactions.ismir.net/articles/10.5334/tismir.57), _Transactions of the International Society for Music Information Retrieval (TISMIR)_, 3(1), pp.68–81.

```
    @article{ycart2019PEAMT,
       Author = {Ycart, Adrien and Liu, Lele and Benetos, Emmanouil and Pearce, Marcus},
       Booktitle = {Transactions of the International Society for Music Information Retrieval (TISMIR)},
       Title = {Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription},
       Year = {2020},
       Volume = {3},
       Issue = {1},
       Pages = {68--81},
       DOI = {http://doi.org/10.5334/tismir.57},
    }
```

For more info, please visit: [https://github.com/adrienycart/PEAMT](https://github.com/adrienycart/PEAMT)



