Publication: Interactive extraction of diverse vocal units from a planar embedding without the need for prior sound segmentation
Interactive extraction of diverse vocal units from a planar embedding without the need for prior sound segmentation
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Lorenz, C., Hao, X., Tomka, T., Rüttimann, L., & Hahnloser, R. H. R. (2023). Interactive extraction of diverse vocal units from a planar embedding without the need for prior sound segmentation. Frontiers in Bioinformatics, 2, 966066. https://doi.org/10.3389/fbinf.2022.966066
Abstract
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Abstract
Annotating and proofreading data sets of complex natural behaviors such as vocalizations are tedious tasks because instances of a given behavior need to be correctly segmented from background noise and must be classified with minimal false positive error rate. Low-dimensional embeddings have proven very useful for this task because they can provide a visual overview of a data set in which distinct behaviors appear in different clusters. However, low-dimensional embeddings introduce errors because they fail to preserve distances; and e
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- Lorenz, Corinna
- Hao, Xinyu
- Tomka, Tomas
- Rüttimann, Linus
- Hahnloser, Richard H R
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Lorenz, C., Hao, X., Tomka, T., Rüttimann, L., & Hahnloser, R. H. R. (2023). Interactive extraction of diverse vocal units from a planar embedding without the need for prior sound segmentation. Frontiers in Bioinformatics, 2, 966066. https://doi.org/10.3389/fbinf.2022.966066
