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Table 9 SER, error per class and average class error on the test partition for the BLSTM1PoolBLSTM2 RNN classifier (Avg pooling, N=10) trained with mixup augmentation with hyperparameter Ī± combined with the HHM resegmentation

From: Multiclass audio segmentation based on recurrent neural networks for broadcast domain data

Mixup

SER

Class error (%)

Avg

Ā Ā 

mu

sp

sm

sn

Ā 

Ī±=0.1

12.88

14.39

23.87

18.68

25.70

20.66

Ī±=0.2

11.80

12.46

22.86

17.34

24.35

19.25

Ī±=0.3

12.14

14.80

21.71

17.37

23.54

19.36

No mixup

12.41

12.87

22.58

19.16

24.99

19.90