Autogenous Spatialization
Channel-based Spatialization for Multichannel Loudspeaker Systems:
- Control over spatial properties of sound(s) only through the input signals.
- Resulting moduations alter the signal (similar to AM/FM).
- The spatial 'behavior' of sounds is deeply linked to their timbral/textural characteristics.
Related Approaches:
- Spatio-Operational-Synthesis (David Topper et al., 2002)2
- Topographic Synthesis (Erik Nyström, 2018) 3
Avoid Object Based Spatialization
- 99% of spatial music is based on panning of virtual sound sources.
- Composers end up using the same movements and gestures.
- The rotation as the
I → V → vi → iii → IV → I → IV → Vprogression of spatial music:
Basic Concept
Best described in the 2023 IEEE Paper1:
Example - Map Pitch to Angle:
| 1) Track Pitch: | 2) Map to Speakers: |
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Mapping Variations:
Signal Flow
Verräumlichung -> Zerräumlichung
Zerr~is a toolbox for autogenous spatialization.- Objects fors Pure Data and Max MSP.
- Details in the 2025 PdMaxCon~ Paper4:
- Code on GitHub: https://github.com/ringbuffer-org/Zerr:
Demo Patch
A demo patch for exploring Zerr~ can be downloaded here: zerr_demo.pd
- Works only with the externals in place.
References
-
Zeyu Yang and Henrik von Coler. Autogenous Spatialization for Arbitrary Loudspeaker Setups. In International Conference on Immersive and 3D Audio (I3DA). 2023. ↩
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David Topper, Matthew Burtner, and Stefania Serafin. Spatio-Operational Spectral (SOS) Synthesis. In Proceedings of the International Conference of Digital Audio Effects (DAFx). Singapore, 2002. ↩
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Erik Nyström. Topographic Synthesis: Parameter Distribution in Spatial Texture. In Proceedings of the International Computer Music Conference (ICMC), 117–122. ICMC, 2018. ↩
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Zeyu Yang and Henrik von Coler. Zerr Autogenous Spatialization in PD and Max. In Proceedings of the PdMaxCon25 . 2025. ↩
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Denis Smalley. Spectromorphology: explaining sound-shapes. Organised Sound, 2(02):107–126, 1997. ↩
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Stuart James. Spectromorphology and Spatiomorphology of Sound Shapes: audio-rate AEP and DBAP panning of spectra. In Proceedings of the International Computer Music Conference (ICMC). 2015. ↩







