English

MUSICNTWRK: data tools for music theory, analysis and composition

Sound 2020-07-22 v4 Audio and Speech Processing

Abstract

We present the API for MUSICNTWRK, a python library for pitch class set and rhythmic sequences classification and manipulation, the generation of networks in generalized music and sound spaces, deep learning algorithms for timbre recognition, and the sonification of arbitrary data. The software is freely available under GPL 3.0 and can be downloaded at www.musicntwrk.com or installed as a PyPi project (pip install musicntwrk).

Keywords

Cite

@article{arxiv.1906.01453,
  title  = {MUSICNTWRK: data tools for music theory, analysis and composition},
  author = {Marco Buongiorno Nardelli},
  journal= {arXiv preprint arXiv:1906.01453},
  year   = {2020}
}

Comments

arXiv admin note: substantial text overlap with arXiv:1905.01842

R2 v1 2026-06-23T09:41:19.696Z