Eintrag in der Universitätsbibliographie der TU Chemnitz
Kumar, Arunodhayan Sampath ; Schlosser, Tobias ; Kahl, Stefan ; Kowerko, Danny*
Improving learning-based birdsong classification by utilizing combined audio augmentation strategies
| Universität: | Technische Universität Chemnitz | |
| Institut 1: | Juniorprofessur Media Computing | |
| Institut 2: | Professur Medieninformatik | |
| Dokumentart: | Artikel in Fachzeitschrift, referiert | |
| ISBN/ISSN: | Online ISSN: 1878-0512 ; Linking ISSN: 1574-9541 | |
| DOI: | doi:10.1016/j.ecoinf.2024.102699 | |
| URL/URN: | https://linkinghub.elsevier.com/retrieve/pii/S1574954124002413 | |
| Quelle: | In: Ecological Informatics. - Elsevier BV. - 82. 2024, 102699 | |
| Freie Schlagwörter (Englisch): | Audio Classification, Audio Processing, Augmentation Strategies, Bird Call Recognition, Bird Species Identification, Birdsong Soundscapes, Computer Vision and Pattern Recognition, Convolutional Neural Networks, Data Augmentation, Deep Learning, DenseNets, in press, Python, ResNets, Vision Transformers | |
| OA-Lizenz | CC BY 4.0 |
