Adaptive representations of sound for automatic insect recognition
Table 4
Test and validation scores for all trained models with mel and LEAF frontends on insect sound datasets of three different sizes.
The median as well as the lower and upper limits are reported from training multiple runs of the same model with different randomization seeds and four convolutional layers (five runs each for InsectSet32, three runs each for InsectSet47 and InsectSet66). The best performing models were also trained with an additional convolutional layer, indicated by the number in the model name.