GrainSynth: A Generative Synthesis Tool based on Spatial Interpretations of Sound Samples

Archelaos Vasileiou, João André Mafra Tenera, Emmanouil Papageorgiou, George Palamas

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Abstrakt

This paper proposes a generative design approach for the creative exploration of dynamic soundscapes that can be used to generate compelling and immersive sound environments. A granular synthesis tool is considered based on the perceptual self-organization of sound samples by utilizing the t-Stochastic Neighboring Embedded algorithm (t-SNE) for the spatial mapping of sonic grains into a 2D space. The proposed system was able to relate the visual stimuli with the sonic responses in the context of the generic gestalt principles of visual perception. According to user evaluation, the application operated intuitively and also revealed the potential for creative expressiveness both from the user’s perspective and as a standalone, generative synthesizer.
OriginalsprogEngelsk
TitelIntelligent Technologies for Interactive Entertainment : 12th EAI International Conference, INTETAIN 2020
RedaktørerNavid Shaghaghi, Fabrizio Lamberti, Brian Beams, Reza Shariatmadar, Ahmed Amer
Vol/bind377
ForlagSpringer
Publikationsdato2021
Sider118-130
ISBN (Trykt)978-3-030-76425-8
ISBN (Elektronisk)978-3-030-76426-5
DOI
StatusUdgivet - 2021
BegivenhedEAI Intetain 2020 – 12th EAI International Conference on Intelligent Technologies for Interactive Entertainment - Online, Santa Clara, USA
Varighed: 12 dec. 202014 dec. 2020
https://intetain.eai-conferences.org/2020/

Konference

KonferenceEAI Intetain 2020 – 12th EAI International Conference on Intelligent Technologies for Interactive Entertainment
LokationOnline
Land/OmrådeUSA
BySanta Clara
Periode12/12/202014/12/2020
Internetadresse
NavnLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Vol/bind377
ISSN1867-8211

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