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

Oregon State University Bioacoustics Group

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

  • Sarah Frey, Ph.D. student in Ecology, OSU
  • Adam Hadley, Ph.D. student in Ecology, OSU
  • Forrest Briggs, Ph.D. student in CS, OSU
  • Balaji Lakshminarayanan, M.S. student in EECS, OSU

• Collaborators

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

• Forrest Briggs, Balaji Lakshminarayanan, Lawrence Neal, Xiaoli Fern, Raviv Raich, Matthew G. Betts, Sarah Frey, and Adam Hadley. "Acoustic classification of multiple simultaneous bird species: a multi-instance multi-label approach." Accepted pending revision, Journal of the Acoustical Society of America, 2012.
  
  
• Lawrence Neal, Forrest Briggs, Raviv Raich, and Xiaoli Z.Fern. "Time-Frequency Segmentation of Bird Song in Noisy Acoustic Environments." Proc. International Conference on Acoustics, Speech and Signal Processing, 2011.(pdf)
  
  
• Forrest Briggs, Raviv Raich, and Xiaoli Z. Fern, "Audio Classification of Bird Species: a Statistical Manifold Approach", to appear in Proc. International Conference on Data Mining, ICDM 2009, (pdf)
  
  
• B. Lakshminarayanan, R. Raich, and X. Fern, "A syllable-level probabilistic framework for bird species identification." Proc. IEEE International Conference on Machine Learning and Applications, 2009. (pdf)
  
  

• Forrest Briggs, Xiaoli Z. Fern, and Raviv Raich, "Acoustic Classification of Bird Species from Syllables: an Empirical Study," 2009, (pdf)