Left: A Songmeter audio recording device in H.J. Andrews experimental research forest.

Middle: A spectrogram representation of audio recorded in H.J.A., after applying noise reduction algorithms.

Right: Stream networks and data collection sites in H.J.A.

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Oregon State University Bioacoustics Group

About Us

The OSU bioacoustics group is an interdisciplinary collaboration between researchers in ecology and machine learning, under the umbrella of the
IGERT ecoinformatics program. Our goal is to better understand bird populations in the H.J. Andrews long term experimental research forest, through computational analysis of audio data.

For the past 3 years, we have been collecting audio adata in the H.J. Andrews forest using unattended digital recording devices known as Songmeters. We have collected over 4 terabyte of audio data, at sites with varying altitutes and vegetation.

The challenge now is to develop algorithms to automatically identify which species of birds are present in an audio recording. Solving this problem will allow us to create maps of bird activity at an unprecedented temporal resolution. Audio data from H.J.A. poses many challenges for machine learning, such as noise from streams, wind and vehicles, and multiple species of birds vocalizing simultaneously.

  • Faculty

    • Matthew Betts, Assistant Professor, Forest Wildlife Landscape Ecology, OSU
    • Raviv Raich, Assistant Professor, School of Electrical Engineering and Computer Science, OSU
    • Xiaoli Fern, Assistant Professor, School of Electrical Engineering and Computer Science, OSU
  • Students

  • Collaborators

    • Dave Mellinger, Associate Professor, Senior Research Cooperative Institute for Marine Resources Studies, Hatfield Marine Science Center, OSU
    • Jed Irvine, Faculty Research Assistant, OSU

Peer Reviewed Publications

Technical Reports

Acknowledgements

This material is based upon work supported by the National Science Foundation under Grant No. 1055113. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).