Fig 10. Model classification performance in a two-category identification task.

The classification task requires that the model distinguish vocalization from background sound categories. For all three classifiers, the overall performance is consistently high and improved with increasing sound duration. Vocalization classification accuracy is highest for the spectro-temporal classifier (C) and shows a nearly identical trend for the spectral classifier (A). The performance of the temporal classifier, however, is approximately 20% lower. For background sounds, classification accuracy does not improve over time and is consistently high (approximately 90%) for all three classifiers. Figure data and related code are available from http://dx.doi.org/10.6080/K03X84V3.