Reverse Engineering the Amen Break - Score-informed Separation and Restoration applied to Drum Recordings

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This page provides audio examples that illustrate the results of the different levels of NMFD side information as well as our proposed post-processing methods. The intention is to point out differences that are not well captured by the PEASS and BSSEval [1] metrics.

Test set item: WaveDrum02_44


Kick drum

Snare drum


License and Acknowledgements

We would like to thank the colleagues from Fraunhofer IDMT for making the "IDMT-SMT-Drums" ( data set publicly available under the Creative Commons Attribution-ShareAlike 4.0 International License ("by-sa"). Our reconstructed signals are derived from the original dataset and consequently fall under the same license.


  1. Valentin Emiya, Emmanuel Vincent, Niklas Harlander, and Volker Hohmann
    Subjective and Objective Quality Assessment of Audio Source Separation
    IEEE Transactions on Audio, Speech, and Language Processing, 19(7): 2046–2057, 2011.
    author    = {Valentin Emiya and Emmanuel Vincent and Niklas Harlander and Volker Hohmann},
    title     = {{S}ubjective and {O}bjective {Q}uality {A}ssessment of {A}udio {S}ource {S}eparation},
    journal   = {{IEEE} Transactions on Audio, Speech, and Language Processing},
    volume    = {19},
    number    = {7},
    year      = {2011},
    pages     = {2046--2057},