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Table 8 \(95\,\%\) confidence intervals of the mean absolute error of the CNN across the fivefold cross-validation of the parameter extraction and all volumes. Results are reported for all time-frequency representations and the combination of distortion, tremolo and slapback delay effect

From: Convolutional neural networks for the classification of guitar effects and extraction of the parameter settings of single and multi-guitar effects from instrument mixes

(a) Distortion + tremolo + slapback delay

 

Gain [\(10^{-2}\)]

Tone [\(10^{-2}\)]

Depth [\(10^{-2}\)]

Frequency [\(10^{-2}\)]

Time [\(10^{-2}\)]

Mix [\(10^{-2}\)]

CNN + chromagram

7.8 ± 0.12

13.4 ± 0. 16

11.8 ± 0.27

10.4 ± 0.46

19.4 ± 0.22

13.5 ± 0.22

CNN + GFCCs

3.6 ± 0.06

4.9 ± 0.17

7.3 ± 0.14

9.1 ± 0.17

13.6 ± 0.18

8.0 ± 0.33

CNN + MFCCs

3.5 ± 0.12

4.5 ± 0.13

9.0 ± 0.3

10.2 ± 0.44

13.3 ± 0.13

8.6 ± 0.1

CNN + spectrogram

3.3 ± 0.014

4.1 ± 0.45

8.5 ± 0.3

8.6 ± 0.28

14.4 ± 0.12

10.3 ± 0.29