Category / Publications
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Improvise+=Chain: Listening to the Ensemble Improvisation of an Autoregressive Generative Model
https://www.nime.org/proc/nime2023_94/index.html Atsuya Kobayashi, Ryo Nishikado, and Nao Tokui. 2023. Improvise+=Chain: Listening to the Ensemble Improvisation of an Autoregressive Generative Model. Proceedings of the International Conference on New Interfaces for Musical Expression. 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…
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Bernoulli Diffusion Model; study of symbolic sequential data generation using Diffusion Model
合ベルヌーイ分布を用いた音楽生成モデルの提案を行う. ガウス分布を用いて画像を生成するDiffusion Modelは, シンボリックなデータであるMIDIを直接生成することが難しい. そこで音符のオンオフをベルヌーイ分布を用いて表現することでシンボリックデータへの適用行った. 本稿では, その生成結果と評価について報告する. Nobusue RyukuTokui Nao Paper submission destination:Information Processing Society of Japan
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Variable Flavor Remix: Development of a system for improvisational remixing of songs requested by the audience using sound source separation technology
Kai Obara Ryo Hasegawa Ryo Nishikado Dai Takanashi Nao Tokui In this research, we use a loop sound source extraction algorithm to create a loop sound source with 8 beats of periodicity for a song requested by an audience (such as an online live audience) through a music streaming service.We used a sound source separation…
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Tokui, N. (2020) ‘Towards democratizing music production with AI-Design of Variational Autoencoder-based Rhythm Generator as a DAW plugin’
Tokui, N. (2020) ‘Towards democratizing music production with AI-Design of Variational Autoencoder-based Rhythm Generator as a DAW plugin’, Available at: http://arxiv.org/abs/2004.01525. There has been significant progress in the music generation technique utilizing deep learning. However, it is still hard for musicians and artists to use these techniques in their daily music-making practice. This paper proposes…
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Kobayashi, A., Anzai, R. and Tokui, N. (2020) ‘ExSampling: a system for the real-time ensemble performance of field-recorded environmental sounds’
Proceedings of the International Conference on New Interfaces for Musical Expression.