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Table 1 Comparison between the performance of different CNN architectures on the pathological voice data set in the form mean AUC ±95% confidence interval

From: A CNN-based approach to identification of degradations in speech signals

Detectors

CNN32

CNN64

CNN128

CNN256

CNN512

Noise

1.00 ±0.00

1.00 ±0.00

1.00 ±0.00

1.00 ±0.00

1.00 ±0.00

Distortion

0.98 ±0.01

0.98 ±0.01

0.99 ±0.00

0.98 ±0.01

0.98 ±0.01

Reverberation

0.90 ±0.01

0.91 ±0.01

0.93 ±0.01

0.91 ±0.01

0.89 ±0.01

  1. The bold-faced numbers represent the best performance