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Fig. 14 | EURASIP Journal on Audio, Speech, and Music Processing

Fig. 14

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

Fig. 14

Mean absolute error of the parameter extraction of the convolutional neural network across pitch of keyboard and bass for all time-frequency representations investigated. Only the two E tones were part of the training. Shown are, respectively, the extraction errors for the gain, tone, depth, and frequency parameter of the distortion and tremolo effect at −12 dB mixing volume (aceg) and at −3 dB mixing volume (bdfh)

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