Keynote talk by Prof. Marie A. Roch
K2_Mining and management of eco-acoustic data
Long-term passive acoustic data sets can provide insights into many topic areas related to animals such as behavior, ecology, density, and communication. Acoustic data sets are becoming ubiquitous as the cost of acquisition, storage, and analysis hardware decreases coupled with an explosion of scientific data analysis products. Advances in algorithms to classify and localize sounds are permitting us to ask questions that would not have been possible only a short time ago.
In this talk, we will examine work from projects that discuss classification in the context of large data sets. We will also examine the management of acoustic recording metadata. Many of the processes that affect animal populations operate on multiple time scales (e.g., diel, lunar, decadal) or over large spatial areas. We present methods that can be used to retain and organize these metadata and place them in context with respect to other data such as lunar phase or climatic indicators.