Deep metric learning for bioacoustic classification: Overcoming training data scarcity using dynamic triplet loss
Author:
Affiliation:
1. School of Computing and Electrical Engineering, IIT Mandi, Mandi, Himachal Pradesh-175005, India
Publisher
Acoustical Society of America (ASA)
Subject
Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)
Link
http://asa.scitation.org/doi/pdf/10.1121/1.5118245
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