Activities per year
Abstract
In this paper we introduce an augmented granular sound synthesis method for a GAN latent space exploration in audio domain. We use the AI-terity musical in- strument for sound generating events in which the neural network (NN) parameters are optimised and then the features are used as a basis to generate new sounds. The exploration of a latent space is realised by creating a latent space through the original features of the training data set and finding the corresponding audio feature of the vector points in this space. Our proposed sound synthesis method can achieve multiple audio generation and sound synthesising events simultaneously without interrupting the playback grains. To do that we introduce redundancy parameter that schedules additional buffer slots divided from a large buffer slot, allowing multiple latent space vector points to be used in granular synthesis, in GPU real-time. Our implementation demonstrates that augmented buffer schedule slots can be used as a feature for a sound synthesis method to explore GAN-latent sound synthesis of granular-musical events with multiple generated audio samples without interrupting the granular musical features of the synthesis method.
Original language | English |
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Publication status | Published - 13 Sept 2022 |
MoE publication type | Not Eligible |
Event | Conference on AI Music Creativity - Online, Virtual, Online, Japan Duration: 13 Sept 2022 → 15 Sept 2022 Conference number: 3 https://2022.aimusiccreativity.org/ |
Conference
Conference | Conference on AI Music Creativity |
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Abbreviated title | AICM |
Country/Territory | Japan |
City | Virtual, Online |
Period | 13/09/2022 → 15/09/2022 |
Internet address |
Keywords
- GaN
- music
- NIME
- AI and music
- artificial intellegence
Fingerprint
Dive into the research topics of 'Augmented Granular Synthesis Method for GAN Latent Space with Redundancy Parameter'. Together they form a unique fingerprint.Prizes
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Co-Creative Artificial Intelligence of Music
Tahiroglu, K. (Recipient) & Sawhney, N. (Recipient), 1 Jan 2022
Prize: Granted funding (public project funding)
Activities
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Communal; AI as a Material, Instrument and the Other
Tahiroglu, K. (Speaker)
22 Nov 2022Activity: Talk or presentation types › Academic keynote or plenary lecture
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Technoscientific Practices of Music
Tahiroglu, K. (Member)
11 Nov 2022Activity: Participating in or organising an event types › Organization of a workshop, panel, session, tutorial or event
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AI-terity
Tahiroğlu, K., Jun 2023Research output: Artistic and non-textual form › Exhibition › Solo art production › peer-review
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Deep Learning with Audio: An Explorative Syllabus for Music Composition and Production
Tahiroğlu, K., Wang, S., Tampu, E. & Lin, J., Aug 2023. 23 p.Research output: Contribution to conference › Paper › Scientific › peer-review
Open AccessFile -
Communal
Tahiroğlu, K., 22 Nov 2022Research output: Artistic and non-textual form › Performance › Solo art production › peer-review