most citedBioacoustical Periodic Pulse Train Signal Detection and Classification using Spectrogram Intensity Binarization and Energy Projection

19 citations · 57 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SD2016★ 8 cited

RAVEN X High Performance Data Mining Toolbox for Bioacoustic Data Analysis

Peter J. Dugan, Holger Klinck, Marie A. Roch +1

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. Ra…

cs.SD2016

Early and Late Time Acoustic Measures for Underwater Seismic Airgun Signals In Long-Term Acoustic Data Sets

Peter Dugan, Melania Guerra, Dimitri Ponirakis +2

This work presents a new toolkit for describing the acoustic properties of the ocean environment before, during and after a sound event caused by an underwater seismic air-gun. The…

cs.DC2016

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

Peter J. Dugan, Christopher W. Clark, Yann André LeCun +1

Goals of this research phase is to investigate advanced detection and classification pardims useful for data-mining passive large passive acoustic archives. Technical objectives ar…

cs.DC2016

Phase 4: DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real-Time Recognition and Localization of Marine Mammals - Distributed Processing and Big Data Applications

Peter J. Dugan, Christopher W. Clark, Yann André LeCun +1

While the animal bioacoustics community at large is collecting huge amounts of acoustic data at an unprecedented pace, processing these data is problematic. Currently in bioacousti…

cs.CV2016★ 2 cited

Phase 2: DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - Machine Learning Detection Algorithms

Peter J. Dugan, Christopher W. Clark, Yann André LeCun +1

Overarching goals for this work aim to advance the state of the art for detection, classification and localization (DCL) in the field of bioacoustics. This goal is primarily achiev…

cs.DC2016★ 1 cited

Phase 1: DCL System Research Using Advanced Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - HPC System Implementation

Peter J. Dugan, Christopher W. Clark, Yann André LeCun +1

We aim to investigate advancing the state of the art of detection, classification and localization (DCL) in the field of bioacoustics. The two primary goals are to develop transfer…