A Mapping Strategy for Interacting with Latent Audio Synthesis Using Artistic Materials

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Zheng, Shuoyang, Sedó, Anna Xambó, Bryan-Kinns, Nick
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866907984082239488
author Zheng, Shuoyang
Sedó, Anna Xambó
Bryan-Kinns, Nick
author_facet Zheng, Shuoyang
Sedó, Anna Xambó
Bryan-Kinns, Nick
contents This paper presents a mapping strategy for interacting with the latent spaces of generative AI models. Our approach involves using unsupervised feature learning to encode a human control space and mapping it to an audio synthesis model's latent space. To demonstrate how this mapping strategy can turn high-dimensional sensor data into control mechanisms of a deep generative model, we present a proof-of-concept system that uses visual sketches to control an audio synthesis model. We draw on emerging discourses in XAIxArts to discuss how this approach can contribute to XAI in artistic and creative contexts, we also discuss its current limitations and propose future research directions.
format Preprint
id arxiv_https___arxiv_org_abs_2407_04379
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Mapping Strategy for Interacting with Latent Audio Synthesis Using Artistic Materials
Zheng, Shuoyang
Sedó, Anna Xambó
Bryan-Kinns, Nick
Sound
Human-Computer Interaction
Audio and Speech Processing
This paper presents a mapping strategy for interacting with the latent spaces of generative AI models. Our approach involves using unsupervised feature learning to encode a human control space and mapping it to an audio synthesis model's latent space. To demonstrate how this mapping strategy can turn high-dimensional sensor data into control mechanisms of a deep generative model, we present a proof-of-concept system that uses visual sketches to control an audio synthesis model. We draw on emerging discourses in XAIxArts to discuss how this approach can contribute to XAI in artistic and creative contexts, we also discuss its current limitations and propose future research directions.
title A Mapping Strategy for Interacting with Latent Audio Synthesis Using Artistic Materials
topic Sound
Human-Computer Interaction
Audio and Speech Processing
url https://arxiv.org/abs/2407.04379