Metadata-Version: 2.1
Name: asmd
Version: 0.1.3
Summary: Audio-Score Meta-Dataset
Home-page: https://asmd.readthedocs.org
License: MIT
Author: Federico Simonetta
Author-email: federico.simonetta@unimi.it
Requires-Python: >=3.6.9,<4.0.0
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Other Audience
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Multimedia :: Sound/Audio
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Requires-Dist: essentia (>=2.1b6.dev184,<3.0)
Requires-Dist: joblib (>=0.14.1,<0.15.0)
Requires-Dist: mega.py (>=1.0.6,<2.0.0)
Requires-Dist: numpy (>=1.18.1,<2.0.0)
Requires-Dist: plotly (>=4.4.1,<5.0.0)
Requires-Dist: pretty_midi (>=0.2.8,<0.3.0)
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Requires-Dist: pyfiglet (>=0.8.post1,<0.9)
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Requires-Dist: tqdm (>=4.43.0,<5.0.0)
Project-URL: Documentation, https://asmd.readthedocs.org
Project-URL: Repository, https://framagit.org/sapo/asmd
Description-Content-Type: text/x-rst

Audio-Score Meta-Dataset
========================

This is the repository for paper [1] 

Read more in the docs_.

To install: ``pip install asmd``
To install datasets: ``python -m asmd.install``
To import API: ``from asmd import audioscoredataset as asd``

Other examples in the paper!

.. _docs: https://asmd.readthedocs.org

Cite us
=======

[1]  Simonetta, Federico ; Ntalampiras, Stavros ; Avanzini, Federico: *ASMD: an automatic framework for compiling multimodal datasets*. In: Proceedings of the 17th Sound and Music Computing Conference. Torino, 2020 arXiv:2003.01958_

.. _arXiv:2003.01958: https://arxiv.org/abs/2003.01958

---

Federico Simonetta 

#. https://federicosimonetta.eu.org
#. https://lim.di.unimi.it

