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Goals of this research phase is to investigate advanced detection andclassification pardims useful for data-mining passive large passive acousticarchives. Technical objectives are to develop and refine a High PerformanceComputing, Acoustic Data Accelerator (HPC-ADA) along with MATLAB based softwarebased on time series acoustic signal Detection cLassification using Machinelearning Algorithms, called DeLMA. Data scientists and biologists integrate touse the HPC-ADA and DeLMA technologies to explore data using newly developedtechniques aimed at inspection of data extracted at large spatial and temporalscales.

Phase 3: DCL System Using Deep Learning Approaches for Land-based or  Ship-based Real-Time Recognition and Localization of Marine Mammals -  Bioacoustic Applicaitons