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Conference object . 2023
License: CC BY
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Article . 2023
License: CC BY
Data sources: Datacite
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Article . 2023
License: CC BY
Data sources: Datacite
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Improvise+=Chain: Listening to the Ensemble Improvisation of an Autoregressive Generative Model

Authors: Kobayashi, Atsuya; Nishikado, Ryo; Tokui, Nao;

Improvise+=Chain: Listening to the Ensemble Improvisation of an Autoregressive Generative Model

Abstract

This paper describes Improvise+=Chain, an audio-visual installation artwork of autonomous musical performance using artificial intelligence technology. The work is designed to provide the audience with an experience exploring the differences between human and AI-based virtual musicians. Using a transformer decoder, we developed a four-track (melody, bass, chords and accompaniment, and drums) symbolic music generation model. The model generates each track in real time to create an endless chain of phrases, and 3D visuals and LED lights represent the attention information between four tracks, i.e., four virtual musicians, calculated within the model. This work aims to highlight the differences for viewers to consider between humans and artificial intelligence in music jams by visualizing the only information virtual musicians can communicate with while humans interact in multiple modals during the performance.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green