HIGHLIGHTS
- who: David Su00fcdholt and colleagues from the (UNIVERSITY) have published the article: Pruning Deep Neural Network Models of Guitar Distortion Effects, in the Journal: (JOURNAL)
- what: The authors propose a new application of recent advancements in neural network pruning methods to recurrent black-box models of distortion effects using a Long Short-Term Memory architecture. The authors compare the efficacy of the method on four different datasets; one distortion pedal and three vacuum tube amplifiers. The authors evaluate the real-time performance of the pruned models and find that a 3x-4x speedup can be . . .
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