PD on an IOT-Class Processor

Miller Puckette, Kerry L. Hagan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Audio installations and other sound art projects sometimes call for large numbers of inexpensive digital audio systems. We have adapted the Pure Data environment to an embedded system using the Espressif ESP32 processor. We find that it is possible to run Pd on an ESP32-based audio development board costing about 20 USD. We were able to build a complete system for a particular art project that can respond to wireless commands and synthesize a continuous stream of sound, while only dissipating about 925 milliwatts. This approach should be adaptable to a range of other possible sound art projects.

Original languageEnglish (US)
Title of host publicationSMC/JIM/IFC 2022 - Proceedings of the 19th Sound and Music Computing Conference
EditorsRomain Michon, Laurent Pottier, Yann Orlarey
PublisherSound and Music Computing Network
Number of pages2
ISBN (Electronic)9782958412609
StatePublished - 2022
Externally publishedYes
Event19th Sound and Music Computing Conference, SMC 2022 - Saint-Etienne, France
Duration: Jun 5 2022Jun 12 2022

Publication series

NameProceedings of the Sound and Music Computing Conferences
ISSN (Electronic)2518-3672


Conference19th Sound and Music Computing Conference, SMC 2022

ASJC Scopus subject areas

  • Music
  • Computer Science Applications
  • Media Technology


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