Improving learning-based birdsong classification by utilizing combined audio augmentation strategies

Author:

Kumar Arunodhayan Sampath,Schlosser Tobias,Kahl Stefan,Kowerko Danny

Funder

European Commission

European Social Fund Plus

Publisher

Elsevier BV

Reference44 articles.

1. TUC media computing at BirdCLEF 2021: Noise augmentation strategies in bird sound classification in combination with DenseNets and ResNets;Arunodhayan Sampathkumar,2021

2. Xception based method for bird sound recognition of BirdCLEF 2020;Bai,2020

3. Bird Audio Detection - DCASE 2018. Technical Report. DCASE2018 Challenge. Surrey, UK;Berger,2018

4. Weakly-supervised classification and detection of bird sounds in the wild. A BirdCLEF 2021 solution;Conde,2021

5. BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding;Devlin,2018

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