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Vincent Lostanlen committed Nov 21, 2018
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# BirdVoxDetect: robust sound event detection of bird flight calls

An open-source Python library and command-line tool for automatically detecting bird flight calls in audio recordings.

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BirdVoxDetect is a pre-trained deep learning system for detecting bird flight calls in continuous recordings.
BirdVoxDetect is a pre-trained deep learning system for detecting bird flight calls in continuous audio recordings.
It relies on per-channel energy normalization (PCEN) and context-adaptive convolutional neural network (CA-CNN) for improved robustness to background noise.
It is made available both as a Python library and as a command-line tool for Windows, OS X, and Linux.

For details about the deep learning model in BirdVoxDetect and how it was trained, we refer the reader to:

Robust audio detection in bioacoustic sensor networks.<br/>
Robust Sound Event Detection in Bioacoustic Sensor Networks<br/>
Vincent Lostanlen, Justin Salamon, Andrew Farnsworth, Steve Kelling, and Juan Pablo Bello<br/>
Under review, 2018.

Expand Down Expand Up @@ -62,3 +64,12 @@ To install the latest version of BirdVoxDetect from source:

cd birdvoxdetect
pip install -e .

# Acknowledging BirdVoxDetect

Please cite the following paper when using BirdVoxDetect in your work:


[1] Robust Sound Event Detection in Bioacoustic Sensor Networks<br/>
Vincent Lostanlen, Justin Salamon, Andrew Farnsworth, Steve Kelling, and Juan Pablo Bello<br/>
Under review, 2018.

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