Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022
2022-06-08Code Available0· sign in to hype
Anthony Miyaguchi, Jiangyue Yu, Bryan Cheungvivatpant, Dakota Dudley, Aniketh Swain
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- github.com/acmiyaguchi/birdclef-2022OfficialIn paperpytorch★ 3
Abstract
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.