  Objective of this work is to integrate high performance computing (HPC)
technologies and bioacoustics data-mining capabilities by offering a
MATLAB-based toolbox called Raven-X. Raven-X will provide a
hardware-independent solution, for processing large acoustic datasets - the
toolkit will be available to the community at no cost. This goal will be
achieved by leveraging prior work done which successfully deployed MATLAB based
HPC tools within Cornell University's Bioacoustics Research Program (BRP).
These tools enabled commonly available multi-core computers to process data at
accelerated rates to detect and classify whale sounds in large multi-channel
sound archives. Through this collaboration, we will expand on this effort which
was featured through Mathworks research and industry forums incorporate new
cutting-edge detectors and classifiers, and disseminate Raven-X to the broader
bioacoustics community.
