Figure 2 | Scientific Reports

Figure 2

From: Utilizing DeepSqueak for automatic detection and classification of mammalian vocalizations: a case study on primate vocalizations

Figure 2

Scheme illustrating the three different models trained and evaluated in this study. Model (1) Detection task: (1a) Training the detectors using image-based CNN with the training data. Evaluation of the trained detectors with (1b) the standardized data and (1c) the experimental data. Model (2) Supervised classification: User defined call type network based on acoustic data. Model (3) Unsupervised model: k-means model based on acoustic data.

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