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Table 3 Performance comparison of different models with and without the application of SpecAugment

From: Exploring the power of pure attention mechanisms in blind room parameter estimation

Method

Dataset I

Dataset II

MSE

MAE

\(\varvec{\rho}\)

MM

MSE

MAE

\(\varvec{\rho}\)

MM

CNN [21]

0.3863

0.4837

0.6984

3.0532

0.3154

0.4136

0.7678

2.5921

CRNN

0.3572

0.4265

0.7262

2.6701

0.2818

0.3684

0.7898

2.3471

Proposed method

0.2650

0.3432

0.8077

2.2039

0.1981

0.2884

0.8580

1.9427

Proposed method w/ pretrain

0.2157

0.3111

0.8529

2.0470

0.1541

0.2423

0.8929

1.7470