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Framework to perform content-based diversity analysis and reliability analysis

License: Apache License 2.0

Python 100.00%
music-information-retrieval diversity-analysis reliability-analysis

music-diversity-analysis's Introduction

Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics

This repository has been created to foster the reproducibility of results for the experiment described in:

Porcaro, L., Gomez, E., & Castillo, C. (2022). Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics. Proc. ACM Hum.-Comput. Interact. 6, CSCW1, Article 109 (April 2022), 26 pages. https://doi.org/10.1145/3512956

It contains raw data and code to replicate the experiment described in the submitted paper.

TODO:

  • Clean code
  • Write docs

Installation:

Create a virtual environment (tested on Python 3.8), then launch the following command for installing the dependencies:

pip install -r src/requirements.txt

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