Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022

Aniketh Swain; Anthony Miyaguchi; Bryan Cheungvivatpant; Dakota Dudley; Jiangyue Yu

Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022

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arxiv 2206.04805 v1 pith:LWMNMUTT submitted 2022-06-08 cs.SD cs.LGeess.AS

Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022

Anthony Miyaguchi , Jiangyue Yu , Bryan Cheungvivatpant , Dakota Dudley , Aniketh Swain This is my paper

classification cs.SD cs.LGeess.AS

keywords representationunsupervisedbirdclefmodelaudiobestbuildchallenge

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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.

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