A hybrid approach combining DNN prediction of dry signals and effects with search-based reconstruction refinement outperforms pure predictive methods for audio effect estimation, with best results from predicting effect type combinations before searching order and parameters.
The experimental evaluation showed that methods based on the proposed approach out- performed the method solely based on the predictive approach
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Audio Effect Estimation with DNN-Based Prediction and Search Algorithm
A hybrid approach combining DNN prediction of dry signals and effects with search-based reconstruction refinement outperforms pure predictive methods for audio effect estimation, with best results from predicting effect type combinations before searching order and parameters.