Skip to main content

Table 4 The impact of changing the lower and higher cutoff frequencies of the log-mel spectrogram on the performance of each detector for pathological voice signals

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

Detectors

flow[Hz]

fhigh[kHz]

 

0

300

700

2500

4.3

11

15

Nyquist

Noise

1.00 ±0.00

1.00 ±0.00

1.00 ±0.00

1.00 ±0.00

1.00 ±0.00

1.00 ±0.00

1.00 ±0.00

1.00 ±0.00

Distortion

0.99 ±0.00

0.98 ±0.01

0.98 ±0.01

0.98 ±0.01

0.97 ±0.01

0.98 ±0.01

0.97 ±0.01

0.99 ±0.00

Reverberation

0.93 ±0.01

0.93 ±0.01

0.91 ±0.01

0.86 ±0.02

0.83 ±0.02

0.88 ±0.01

0.92 ±0.01

0.93 ±0.01

  1. The results are in the form mean AUC ±95% confidence interval