Conference paper Open Access

ASMD: an automatic framework for compiling multimodal datasets with audio and scores

Simonetta, Federico; Ntalampiras, Stavros; Avanzini, Federico

GeoJSON Export

{
  "type": "FeatureCollection", 
  "features": []
}
49
38
views
downloads
All versions This version
Views 4949
Downloads 3838
Data volume 7.4 MB7.4 MB
Unique views 3939
Unique downloads 3434
More info on how stats are collected.
Indexed in
Publication date:
April 28, 2020
DOI:
10.5281/zenodo.3773286

Zenodo DOI Badge

DOI 

10.5281/zenodo.3773286

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3773286.svg)](https://doi.org/10.5281/zenodo.3773286)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3773286.svg
   :target: https://doi.org/10.5281/zenodo.3773286

HTML 

<a href="https://doi.org/10.5281/zenodo.3773286"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.3773286.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.3773286.svg

Target URL 

https://doi.org/10.5281/zenodo.3773286

Keyword(s):
MIR Dataset Python Audio Music Scores Music Sheets Music Information Retrieval
Meeting:
Sound and Music Computing Conference (SMC), Turin, Italy, 24-26 june
Related identifiers:
Identical to
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.5281/zenodo.3773286 Apr 28, 2020
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.3773285. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export