music-embedding 1.0.1

A package for representing music data based on music theory

Music Embedding is an open source python package for representing music data based on music theory. It provides tools to convert melodic and harmonic sequences to and from pianorolls.

Features

• Representation for music intervals

• Create sequence of (harmonic or melodic) intervals from pianoroll presentation

• Create pianoroll from a sequence of (harmonic or melodic) intervals

• Break the sequence of intervals into smaller pieces e.g. bars

• Compress the sequence of intervals using Run Length Encoding (RLE)

Why Music Embedding

Embedding is an underexplored area in the intersection of AI and music. While many works try to apply NLP-based embedding and automatic embedding (such as convolution), representing music data based on music theory is important. Music Embedding package aims to make employment of music theory easy to enhance the computationals music projects’ results. Some potential usecases are:

• Statistical and probabilistic analysis of music pieces,

• Developing generative models to have AI-synthesized music,

• Genre classificaion,

• Mood recognition,

• Melody extraction,

• Audio-to-Score alignment,

• Structure analysis.

Installation

Music Embedding’s only prerequisit is the Numpy package. Music Embedding is developed and tested in interaction with Pypianoroll ; yet, any other code which can handle pianorolls should work just fine.

To install Music Embedding, please run pip install music_embedding. To build Music Embedding from source, please download the source and run python setup.py install.

Semantic Versioning Policy

Music Embedding uses x.y.z format to indicate the version where x is major versin number, y is minor version number, and z is the patch number.

Classes Documentation

For detailed documenation please visit:

• interval

• embedder

Usage

Please visit the getting started page.

The following code snippet demonstrates how to convert a midi file into a sequence of harmonic intervals.

import music_embedding
import pypianoroll

if __name__ == '__main__':
        #opening midi file using pypianoroll
        midi_path = r'c:\Moonlight Sonata.mid'
        multi_track = pypianoroll.read(midi_path)

        #mergeing midi tracks into a single pianoroll so harmonic intervals can be extracted
        merged_piano_roll = multi_track.blend('max')

        #getting pianoroll of the first track
        pianoroll = multi_track.tracks[0].pianoroll

        #creating embedder object from music embedding package
        embedder = music_embedding.embedder()

        #extracting harmonic intervals
        harmonic_intervals = embedder.get_harmonic_intervals_from_pianoroll(pianoroll=pianoroll, ref_pianoroll=merged_piano_roll)

        #creating interval object from music embedding package
        interval = music_embedding.interval()

        #printing the first 20 intervals
        for i in range(20):
                interval.set_specs_list(harmonic_intervals[i])
                print(interval)

Issues

If you find a problem, please file a bug.

License

This project is licensed under the MIT License - see the LICENSE file for details.