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DeepSqueak

version 3.0.1 (138 MB) by Kevin R Coffey
DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research

436 Downloads

Updated 06 Oct 2021

From GitHub

View license on GitHub

DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research

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V3 Major Upgrades

  • Brand New YOLO V2 based Detection Architechture
  • Navigate Entire Audio Files to Quickly & Easily Refine Detections or Add New Boxes
  • Retrain Existing Networks With Your Own Recordings
  • Start From Scratch: Hand Box Calls and Train a New Species Detector
  • Contour Invarient Clustering With Variational Auto Encoders
  • Brand New Clustering GUI

Copyright © 2021 by Russell Marx, Kevin Coffey, Robert Ciszek, & Lara Valderrabano All Rights Reserved.

Cite As

Coffey, K.R., Marx, R.G. & Neumaier, J.F. (2019). DeepSqueak: a deep learning-based system for detection and analysis of ultrasonic vocalizations. Neuropsychopharmacology. 44, 859–868. https://doi.org/10.1038/s41386-018-0303-6

MATLAB Release Compatibility
Created with R2020a
Compatible with R2019a to R2021a
Platform Compatibility
Windows macOS Linux

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Functions

Functions/Call Classification

Functions/Colormaps

Functions/Import and Export

Functions/Network Training

Functions/Variational Autoencoder

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.