Introduction

This section covers the fundamental usage of musicaiz, including a package overview, basic and advanced usage.

Quickstart

The goal of musicaiz is to provide a framwork for symbolic music generation. Musicaiz contains 3 basic modules that contains the music basic principles definitions: harmony, structure and rhythm. There are other modules that use these definitions to plot, tokenize, evaluate and generate symbolic music data.

Analyze data

Load a MIDI file:

from musicaiz import loaders

# load file
midi = loaders.Musa("../files/mozart.mid")

# get instruments
instruments = midi.instruments

Create data

Obtain notes that belong to a chord:

from musicaiz import harmony

# Triad chord build from 1st degree of C major
harmony.Tonality.get_chord_notes_from_degree(tonality="C_MAJOR", degree="I", scale="MAJOR")

# Triad chord build from 1st degree of C major in dorian scale
harmony.Tonality.get_chord_notes_from_degree(tonality="C_MAJOR", degree="I", scale="DORIAN")

Tokenize

We can encode MIDI data as tokens with musicaiz. The current implementation supports the following tokenizers:

MMM: Ens, J., & Pasquier, P. (2020). Mmm: Exploring conditional multi-track music generation with the transformer.