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Is AI for the birds? The beauty of backyard birdsong data (WHY2025)

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Manage episode 499517111 series 2475293
Content provided by CCC media team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CCC media team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Birdsong is all around us, but is there a deeper meaning? Can computer analysis help us decipher these hidden patterns in our own backyards? This talk charts my journey exploring the world of open source projects for bird (and bat!) audio identification, some of the systems I've operated, and the data art pieces I've created from the results. From the science of birdsong, to machine learning models and data visualization, there's something for every hacker to be inspired by. - How birds sing, spectrograms and analysis - Neural networks for identifying animal sounds - Feature pre-processing for sound ID - Open source projects you can build yourself - Data art and visualizations - The psychology of shifting baselines and why the data matters Licensed to the public under https://creativecommons.org/licenses/by/4.0/ about this event: https://program.why2025.org/why2025/talk/L79ASB/
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1960 episodes

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Manage episode 499517111 series 2475293
Content provided by CCC media team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CCC media team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Birdsong is all around us, but is there a deeper meaning? Can computer analysis help us decipher these hidden patterns in our own backyards? This talk charts my journey exploring the world of open source projects for bird (and bat!) audio identification, some of the systems I've operated, and the data art pieces I've created from the results. From the science of birdsong, to machine learning models and data visualization, there's something for every hacker to be inspired by. - How birds sing, spectrograms and analysis - Neural networks for identifying animal sounds - Feature pre-processing for sound ID - Open source projects you can build yourself - Data art and visualizations - The psychology of shifting baselines and why the data matters Licensed to the public under https://creativecommons.org/licenses/by/4.0/ about this event: https://program.why2025.org/why2025/talk/L79ASB/
  continue reading

1960 episodes

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