Originally posted on CS News & Events on May 6, 2021.
CS majors Alex Dewey, Jonathan Calderon Chavez, Vincent Valenzuela and Antone Silveria presented their work "Using Machine Learning to Measure Biodiversity from Sound Recordings" at the virtual 35th Annual CSU Systemwide Student Research Competition on April 30, 2021. They explain:
Our group explores the utility of machine learning in combination with other techniques to best categorize sound recordings. The four main categories are anthrophony, geophony, biophony and other. The purpose of measuring biodiversity is to provide insight into changes in vegetation communities, animal communities, ecosystem health and human impact.
The CSU Student Research Competition recognizes outstanding student accomplishments from throughout the twenty-three campuses of the CSU, through a selective process. The student team was selected to represent SSU, and further honored by being recognized by placing first within their category. Their award-winning research is summarized in the video below.