Utilizing DeepSqueak for automatic detection and classification of mammalian vocalizations: a case study on primate vocalizations.
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| Title: | Utilizing DeepSqueak for automatic detection and classification of mammalian vocalizations: a case study on primate vocalizations. |
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| Authors: | Romero-Mujalli D; Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559, Hannover, Germany. danielrm84@gmail.com., Bergmann T; Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559, Hannover, Germany., Zimmermann A; University of Aalen, Aalen, Germany., Scheumann M; Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559, Hannover, Germany. |
| Source: | Scientific reports [Sci Rep] 2021 Dec 27; Vol. 11 (1), pp. 24463. Date of Electronic Publication: 2021 Dec 27. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-021-03941-1 |
