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Table 9 \(95\,\%\)gives 95 % confidence intervals of the mean absolute error of the parameter extraction of the convolutional neural network for the chorus, phaser, reverb, and overdrive effect using mel-frequency cepstral coefficients as time-frequency representation

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

Effect

Parameter 1

Parameter 2

Chorus (Rate. Depth)

0.025 ± 0.0006

0.035 ± 0.0007

Phaser (Rate. Depth)

0.058 ± 0.0009

0.031 ± 0.0023

Reverb (Room Size. Mix)

0.041 ± 0.0009

0.034 ± 0.0006

Overdrive (Gain. Tone)

0.024 ± 0.0007

0.029 ± 0.0016