AI Chat AI Image Generator AI Video Text to Speech

MUSICNTWRK: data tools for music theory, analysis and composition

06/03/2019

∙

by Marco Buongiorno Nardelli, et al.

∙

∙

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.

page 1

page 2

page 3

page 4

research

∙ 09/16/2022

musicaiz: A Python Library for Symbolic Music Generation, Analysis and Visualization

In this article, we present musicaiz, an object-oriented library for ana...

0 Carlos Hernandez-Olivan, et al. ∙

research

∙ 03/28/2022

Subjective Evaluation of Deep Learning Models for Symbolic Music Composition

Deep learning models are typically evaluated to measure and compare thei...

0 Carlos Hernandez-Olivan, et al. ∙

research

∙ 04/25/2018

Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres

We describe a system based on deep learning that generates drum patterns...

0 Tijn Borghuis, et al. ∙

research

∙ 08/04/2020

Automatic Composition of Guitar Tabs by Transformers and Groove Modeling

Deep learning algorithms are increasingly developed for learning to comp...

0 Yu-Hua Chen, et al. ∙

research

∙ 09/26/2017

Learning a Predictive Model for Music Using PULSE

Predictive models for music are studied by researchers of algorithmic co...

0 Jonas Langhabel, et al. ∙

research

∙ 08/12/2017

Classical Music Composition Using State Space Models

Algorithmic composition of music has a long history and with the develop...

0 Anna K. Yanchenko, et al. ∙

research

∙ 09/19/2017

Linear Computer-Music through Sequences over Galois Fields

It is shown how binary sequences can be associated with automatic compos...

0 H. M. de Oliveira, et al. ∙