NBP 2.0: Updated Next Bar Predictor, an Improved Algorithmic Music Generator

NBP 2.0: Updated Next Bar Predictor, an Improved Algorithmic Music Generator

Deep neural network advancements have enabled machines to produce melodies emulating human-composed music. However, the implementation of such machines is costly in terms of resources. In this paper, we present NBP 2.0, a refinement of the previous model next bar predictor (NBP) with two notable imp...

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Bibliographic Details
Main Authors: Dungan, Belinda M., Fernandez, Proceso L, Jr
Format: text
Published: Archīum Ateneo 2022
Subjects:
algorithmic melody generator
NBP
scale-based data transformation
Arts and Humanities
Computer Engineering
Electrical and Computer Engineering
Engineering
Music
Other Music
Online Access:https://archium.ateneo.edu/ecce-faculty-pubs/131
https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1125&context=ecce-faculty-pubs
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Institution: Ateneo De Manila University
Description
Summary:Deep neural network advancements have enabled machines to produce melodies emulating human-composed music. However, the implementation of such machines is costly in terms of resources. In this paper, we present NBP 2.0, a refinement of the previous model next bar predictor (NBP) with two notable improvements: first, transforming each training instance to anchor all the notes to its musical scale, and second, changing the model architecture itself. NBP 2.0 maintained its straightforward and lightweight implementation, which is an advantage over the baseline models. Improvements were assessed using quantitative and qualitative metrics and, based on the results, the improvements from these changes made are notable.

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