Algorithmic Songwriting with ALYSIA

12/04/2016
by   Margareta Ackerman, et al.
0

This paper introduces ALYSIA: Automated LYrical SongwrIting Application. ALYSIA is based on a machine learning model using Random Forests, and we discuss its success at pitch and rhythm prediction. Next, we show how ALYSIA was used to create original pop songs that were subsequently recorded and produced. Finally, we discuss our vision for the future of Automated Songwriting for both co-creative and autonomous systems.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/04/2020

Lale: Consistent Automated Machine Learning

Automated machine learning makes it easier for data scientists to develo...
research
07/05/2022

An Approximation Method for Fitted Random Forests

Random Forests (RF) is a popular machine learning method for classificat...
research
10/11/2022

Generalization Analysis on Learning with a Concurrent Verifier

Machine learning technologies have been used in a wide range of practica...
research
08/29/2023

A General Recipe for Automated Machine Learning in Practice

Automated Machine Learning (AutoML) is an area of research that focuses ...
research
02/06/2023

A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers

Differential replication through copying refers to the process of replic...
research
03/03/2020

Understanding the Prediction Mechanism of Sentiments by XAI Visualization

People often rely on online reviews to make purchase decisions. The pres...
research
05/25/2018

Automated Verification of Neural Networks: Advances, Challenges and Perspectives

Neural networks are one of the most investigated and widely used techniq...

Please sign up or login with your details

Forgot password? Click here to reset