Chirp

Published 6/9/2023

Description:

The Bird Song Application Chirp is a hub for ornithologists to explore, clean, and label bird song data. It combines an intuitive user interface with a powerful data-science driven backend to act as a repository for bird song audio. Using audio analysis techniques, it automatically extracts bird calls from hour-long clips recorded in the field, saving researchers valuable time to focus on what really matters: the birds. Equipped with a cutting-edge machine learning pipeline, our novel application facilitates a user-friendly approach to identify the bird calls extracted from audio clips, giving both amateur and experts users alike a valuable second opinion identifying which birds they hear.

Team Members

  • Team member portrait
    Anju Mathew

    2023

    Anju Mathew

    B.S. Computer Science

  • Team member portrait
    Cole Theodore

    2023

    Cole Theodore

    B.S. Computer Science

  • Team member portrait
    Miya DeGeer

    2023

    Miya DeGeer

    B.S. Computer Science

  • Team member portrait
    Jesse Piccione

    2023

    Jesse Piccione

    B.S. Computer Science

  • Team member portrait
    Caleb Elson

    2023

    Caleb Elson

    B.S. Computer Science

Artifacts
Website:
https://events.engineering.oregonstate.edu/expo2023/project/chirp-bird-song-prediction-app