TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors

  • Z. Huang
  • , A. Tousnakhoff
  • , P. Kozyr
  • , R. Rehausen
  • , F. Biebmann
  • , R. Lachlan
  • , C. Adjih
  • , E. Baccelli

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

Original languageEnglish
Title of host publicationIEEE 5th International Symposium on the Internet of Sounds, IS2 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350366525
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event5th IEEE International Symposium on the Internet of Sounds, IS2 2024 - Erlangen, Germany
Duration: 30 Sept 20242 Oct 2024

Publication series

NameIEEE 5th International Symposium on the Internet of Sounds, IS2 2024

Conference

Conference5th IEEE International Symposium on the Internet of Sounds, IS2 2024
Country/TerritoryGermany
CityErlangen
Period30/09/242/10/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Acoustic Sensors
  • Machine Learning
  • Microcontroller
  • TinyML

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