DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real Time Recognition and Localization of Marine Mammals
Abstract
The ONR DCL grant focuses on advancing state-of-the-art of data-mining for the bioacoustics community through researching and creating new technologies, algorithms and systems to decipher and understand very large passive acoustic datasets. The long-term goal is to develop advanced computational systems and algorithms that will provide scientists the ability to efficiently harvest animal localizations from large, complex datasets. The newly developed systems provides efficient, high performance processing of acoustic sounds by allowing a state-of-the-art technology to host algorithms for advanced detection and classification and other data-mining strategies.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2015
- Accession Number
- AD1014344
Entities
People
- Christopher W Clark
- Peter J. Dugan
- Sofie M. Van Parijs
- Yann Le Cun
Organizations
- Cornell University