Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System
Published in
arXiv.org(2018)External Links:
TL
TL;DR
A baseline system using convolutional neural networks for bird species recognition is presented and the code base is published as reference for participants in the 2018 LifeCLEF bird identification task.
Abstract
Reliable identification of bird species in recorded audio files would be a transformative tool for researchers, conservation biologists, and birders. In recent years, artificial neural networks have greatly improved the detection quality of machine learning systems for bird species recognition. We present a baseline system using convolutional neural networks. We publish our code base as reference for participants in the 2018 LifeCLEF bird identification task and discuss our experiments and potential improvements.
References18 items
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LifeCLEF 2017 Lab Overview: Multimedia Species Identification Challenges
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Two convolutional neural networks for bird detection in audio signals
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Snapshot Ensembles: Train 1, get M for free
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Densely Connected Convolutional Networks
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