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Tag Archives: Deep Learning with Audio
GANSpaceSynth – AIMC 2021 publication is now online
Our AIMC 2021 publication, GANSpaceSynth: A Hybrid Generative Adversarial Network Architecture for Organising the Latent Space using a Dimensionality Reduction for Real-Time Audio Synthesis is now open accessible online – Link to the publication
Posted in Announcements, Projects
Tagged Artificial Intelligence, Deep Learning with Audio, GANSpaceSynth
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AI-terity 2.0: An Autonomous NIME Featuring GANSpaceSynth Deep Learning Model
In this NIME 2021 publication, we focus on the development on our AI-terity instrument. Our main contribution in this paper is the new deep learning architecture that we implemented, autonomous features that we built in relation to the deep leaning … Continue reading
Posted in Announcements, Projects
Tagged Academy of Finland, AI-terity, Artificial Intelligence, Deep Learning with Audio, GANSpaceSynth, Music, NIME
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Uncertain Practices Ars Electronica Garden Espoo/Helsinki / 9 – 13 September 2020
Spring 2020 marked a period of enhanced uncertainty all around the world with the COVID-19 pandemic forcing societies into lockdown. The situation brought up societal and governance challenges that were further internalized into individuals’ thinking and their relationships as communities … Continue reading
Uncertainty with AI-terity (Music Performance) -Ars Electronica 2020
The composition Uncertainty was presented in Ars Electronica 2020, keeps the musician in a hesitant state of performance, providing a non-rigid but identifiable musical events, followed by ever shifting new sounds. https://ars.electronica.art/keplersgardens/en/ai-terity-music/
Al-terity: Non-Rigid Musical Instrument with Artificial Intelligence Applied to Real-Time Audio Synthesis
Our NIME 2020 publication about the AI-terity project is now open accessible online. https://www.nime.org/proceedings/2020/nime2020_paper65.pdf
Digital Musical Instruments as Probes: How computation changes the mode-of-being of musical instruments
This is another Organised Sound (Open Access) publication by Koray Tahiroğlu, Thor Magnusson, Adam Parkinson, Iris Garrelfs and Atau Tanaka. This article explores how computation opens up possibilities for new musical practices to emerge through technology design. Link tot he … Continue reading
Idiomatic Patterns and Aesthetic Influence in Computer Music Languages of musical instruments
This is an Organised Sound (Open Access) publication by Andrew McPherson and Koray Tahiroğlu. In this article we examine the ways in which computer music languages might similarly influence the aesthetic decisions of the digital music practitioner, even when those … Continue reading
InSpace with the Otherness
InSpace with the Otherness is a co-located collaboration with a deep learning algorithm. It provides embodied and spatial opportunities to exhibition visitors for musical exploration. http://sopi.aalto.fi/inspace/
Symposium on Digital Musical Interactions OODI Maijansali, Helsinki / 14 November
The symposium, Socio-Cultural Role of Technology in Digital Musical Interactions, discussed critically our relationships with music and digital musical instruments, exploring how these new relationships build embodied behaviours, expectations, beliefs, interpretations and actions in various ways we practice and act … Continue reading
Technology-assisted Creativity: from Human to Post-Human Keynote / BOZAR, Brussels 17 October 2019
In this talk Koray Tahiroğlu introduced our current research on digital musical instruments (DMIs) in which autonomous and intelligent computational features are applied to music generation with machine learning and artificial intelligence (AI) tools. https://www.aalto.fi/en/events/sustainable-transformations
