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National-scale real-time biodiversity monitoring

The Sound of Norway project monitors ecosystems across the nation with real- time recording devices. Using machine learning to automatically classify bird vocalisations, we can simultaneously track the distribution and migration patterns of many species on vast scales and over long time-periods.


We use AI to automatically identify birds vocalisations. Combined with expert verification, we can reliably track species distributions and dynamics in real time across Norway.

  • A photo of Great Spotted Woodpecker

    Great Spotted Woodpecker

    Bergen 120718
  • A photo of Eurasian Wren

    Eurasian Wren

    Bergen 120718
  • A photo of Eurasian Bullfinch

    Eurasian Bullfinch

    Trondheim 161106
  • A photo of Common Chaffinch

    Common Chaffinch

    Bergen 121812
  • A photo of Gray Heron

    Gray Heron

    Tofte III
  • A photo of White Wagtail

    White Wagtail

    Seminat 17
  • A photo of European Robin

    European Robin

    Bergen 120718
  • A photo of Eurasian Blue Tit

    Eurasian Blue Tit

    Stavanger 110203*
  • A photo of Eurasian Blue Tit

    Eurasian Blue Tit

    Bergen 121812

Showing 9 of over 1000 matching detections.

Exploring Norway's Natural Soundscapes

Our monitoring sites are spread from the southernmost tip of Norway to deep inside the Arctic Circle.


17 May 2022 05:33


23 Apr 2022 09:20


14 Jun 2022 00:02


15 Apr 2022 20:09


26 Apr 2022 03:50

Research Team

We are a team of scientists based at the Norwegian Institute for Nature Research (NINA) and the University of Cambridge

  • Photo of Carolyn Rosten

    Carolyn Rosten

    Co Lead

    • Photo of Sarab Sethi

      Sarab Sethi

      Co Lead

      • Photo of Benjamin Cretois

        Benjamin Cretois

        • Photo of Avery Bick

          Avery Bick

          • Photo of Julia Wiel

            Julia Wiel

            Future directions

            In addition to detecting birds, we aim to use the The Sound of Norway data to:

            Contact us

            Detect other audible species

            By creating machine learning models which detect frog croaks, deer barks, cricket chirps, and more we will see a more complete picture of biodiversity at our sites

            Record Ultrasonic Frequencies

            We are developing devices which can stream real-time ultrasonic data which will allow us to record inaudible sounds from bats and insects.

            Monitor Soundscapes

            Looking at high level features of soundscapes will allow us to measure ecosystem health more holistically.

            Funders and partners

            Norwegian Environment Agency
            University of Cambridge Conservation Research Institute
            Imperial College London
            Cambridge Center for Data Driven Discovery