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EURASIP Journal on Audio, Speech, and Music Processing

Table 3 Performing meta-training using the MiniImageNet and ESC-50 datasets, respectively, and conducting meta-testing on the test set of the MPSSC dataset using the original partition

From: Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy

Meta-training dataset

UAR

MiniImageNet

41.2%

ESC-50

60.2%

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