Music Embedding: A Tool for Incorporating Music Theory into Computational Music Applications

Advancements in the digital technologies have enabled researchers to develop a variety of Computational Music applications. Such applications are required to capture, process, and generate data related to music. Therefore, it is important to digitally represent music in a music theoretic and concise manner. Existing approaches for representing music are ineffective in terms of utilizing music theory. In this paper, we address the disjoint of music theory and computational music by developing an opensource representation tool based on music theory. Through the wide range of use cases, we run an analysis on the classical music pieces to show the usefulness of the developed music embedding.

READ FULL TEXT

page 5

page 6

page 9

page 10

research
11/21/2017

JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs

We propose a novel approach for the generation of polyphonic music based...
research
08/23/2020

Translating Paintings Into Music Using Neural Networks

We propose a system that learns from artistic pairings of music and corr...
research
07/26/2018

Visual Display and Retrieval of Music Information

This paper describes computational methods for the visual display and an...
research
06/14/2020

Optical Music Recognition: State of the Art and Major Challenges

Optical Music Recognition (OMR) is concerned with transcribing sheet mus...
research
05/12/2021

A Statistical Model for Melody Reduction

A commonly-cited reason for the poor performance of automatic chord esti...
research
12/13/2022

Redefining Relationships in Music

AI tools increasingly shape how we discover, make and experience music. ...
research
04/21/2009

The Business of Selling Electronic Documents

The music industry has huge troubles adapting to the new technologies. A...

Please sign up or login with your details

Forgot password? Click here to reset