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Table 6 \(95\,\%\) 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 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 + slapback delay

 

Gain

Tone

Time

Mix

CNN + chromagram

0.093 ± 0.0013

0.125 ± 0.0014

0.127 ± 0.001

0.082 ± 0.0013

CNN + GFCCs

0.065 ± 0.0014

0.07 ± 0.0019

0.089 ± 0.0009

0.051 ± 0.001

CNN + MFCCs

0.067 ± 0.0005

0.071 ± 0.0004

0.083 ± 0.0021

0.055 ± 0.0015

CNN + spectrogramm

0.069 ± 0.0005

0.074 ± 0.001

0.097 ± 0.0015

0.064 ± 0.0013