https://aimc2023.pubpub.org/pub/pvs1g2z3 The performance titled Uncanny combines AI-driven sound synthesis methods with live coding techniques. Various Artificial Intelligence models including Melody RNN, DDSP, GanSynth, and GANSpaceSynth have been implemented within the scope of the ‘Deep Learning with Audio’ course by Koray Tahiroğlu at Aalto University, hence possible applications using the above-mentioned algorithms in combination with live coding tools have been researched by Begüm Çelik. Amongst these models, GANSynth and GANSpaceSynth have been chosen to be integrated into the proposed live coding performance as well as in the provided sample demo. The main reason behind this combination is not solely caused by the characteristics o...
https://aimc2023.pubpub.org/pub/8x9jxz9a This a 20-30mins duo live improvised music performance set...
This paper describes [self.], an open source art installation that embodies artificial intelligence ...
With an optimal network topology and tuning of hyperpa- rameters, artificial neural networks (ANNs)...
In this paper we present the recent developments in the AI-terity instrument. AI-terity is a deforma...
In this study, we investigate the usage of generative adversarial networks for modelling a collectio...
https://aimc2023.pubpub.org/pub/dk76kh2j Music-making with live coding is a challenging endeavour d...
A deformable musical instrument can take numerous dis- tinct shapes with its non-rigid features. Bui...
Generative models enable possibilities in audio domain to present timbre as vectors in a high-dimens...
With the advent of artificial intelligence and machine learning, multiple industries have gone throu...
https://aimc2023.pubpub.org/pub/9lqurr1x Pandora hears her dreams, they talk to her in mysterious v...
The MIMIC (Musically Intelligent Machines Interacting Creatively) project explores how the technique...
https://aimc2023.pubpub.org/pub/vnkwhmgn This submission proposes a musical performance that combin...
Autoregressive neural networks, such as WaveNet, have opened up new avenues for expressive audio syn...
https://aimc2023.pubpub.org/pub/kba1r63j This paper explores a form of live performance where human...
Live coding is “the activity of writing (parts of) a program while it runs”. One significant applica...
https://aimc2023.pubpub.org/pub/8x9jxz9a This a 20-30mins duo live improvised music performance set...
This paper describes [self.], an open source art installation that embodies artificial intelligence ...
With an optimal network topology and tuning of hyperpa- rameters, artificial neural networks (ANNs)...
In this paper we present the recent developments in the AI-terity instrument. AI-terity is a deforma...
In this study, we investigate the usage of generative adversarial networks for modelling a collectio...
https://aimc2023.pubpub.org/pub/dk76kh2j Music-making with live coding is a challenging endeavour d...
A deformable musical instrument can take numerous dis- tinct shapes with its non-rigid features. Bui...
Generative models enable possibilities in audio domain to present timbre as vectors in a high-dimens...
With the advent of artificial intelligence and machine learning, multiple industries have gone throu...
https://aimc2023.pubpub.org/pub/9lqurr1x Pandora hears her dreams, they talk to her in mysterious v...
The MIMIC (Musically Intelligent Machines Interacting Creatively) project explores how the technique...
https://aimc2023.pubpub.org/pub/vnkwhmgn This submission proposes a musical performance that combin...
Autoregressive neural networks, such as WaveNet, have opened up new avenues for expressive audio syn...
https://aimc2023.pubpub.org/pub/kba1r63j This paper explores a form of live performance where human...
Live coding is “the activity of writing (parts of) a program while it runs”. One significant applica...
https://aimc2023.pubpub.org/pub/8x9jxz9a This a 20-30mins duo live improvised music performance set...
This paper describes [self.], an open source art installation that embodies artificial intelligence ...
With an optimal network topology and tuning of hyperpa- rameters, artificial neural networks (ANNs)...