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Dakota Dudley

Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022

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Jun 08, 2022
Anthony Miyaguchi, Jiangyue Yu, Bryan Cheungvivatpant, Dakota Dudley, Aniketh Swain
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We build a classification model for the BirdCLEF 2022 challenge using unsupervised methods. We implement an unsupervised representation of the training dataset using a triplet loss on spectrogram representation of audio motifs. Our best model performs with a score of 0.48 on the public leaderboard.

* Submitted to CEUR-WS under LifeCLEF for the BirdCLEF 2022 challenge as a working note 
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