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Fast and accurate annotation of acoustic signals with deep neural networks
Elsa Steinfath, Adrian Palacios, Julian R Rottschäfer, Deniz Yuezak, View ORCID ProfileJan Clemens
doi: https://doi.org/10.1101/2021.03.26.436927
Elsa Steinfath
1European Neuroscience Institute - A Joint Initiative of the University Medical Center Göttingen and the Max-Planck-Society, Göttingen, Germany
2International Max Planck Research School and Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GGNB) at the University of Göttingen, Göttingen, Germany
Adrian Palacios
1European Neuroscience Institute - A Joint Initiative of the University Medical Center Göttingen and the Max-Planck-Society, Göttingen, Germany
2International Max Planck Research School and Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GGNB) at the University of Göttingen, Göttingen, Germany
Julian R Rottschäfer
1European Neuroscience Institute - A Joint Initiative of the University Medical Center Göttingen and the Max-Planck-Society, Göttingen, Germany
2International Max Planck Research School and Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GGNB) at the University of Göttingen, Göttingen, Germany
Deniz Yuezak
1European Neuroscience Institute - A Joint Initiative of the University Medical Center Göttingen and the Max-Planck-Society, Göttingen, Germany
2International Max Planck Research School and Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GGNB) at the University of Göttingen, Göttingen, Germany
Jan Clemens
1European Neuroscience Institute - A Joint Initiative of the University Medical Center Göttingen and the Max-Planck-Society, Göttingen, Germany
3Bernstein Center for Computational Neuroscience, Göttingen, Germany
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Posted September 25, 2021.
Fast and accurate annotation of acoustic signals with deep neural networks
Elsa Steinfath, Adrian Palacios, Julian R Rottschäfer, Deniz Yuezak, Jan Clemens
bioRxiv 2021.03.26.436927; doi: https://doi.org/10.1101/2021.03.26.436927
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