Code & companion page for the paper: Blind Harmonic Adaptive Decomposition Applied to Supervised Source Separation

Code & companion page for the paper: Blind Harmonic Adaptive Decomposition Applied to Supervised Source Separation
By B. Fuentes

The Matlab code of the Graphical User Interface described in the paper can be found on the author’s website.

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F. Foscarin presents his work on pitch spelling and key signature estimation ≥≥

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A. Lerch talks to ADASP about his work on unsupervised and semi-supervised approaches for addressing the data challenge in music analysis ≥≥

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J. Pauwels talks to ADASP about evaluation without ground-truth in the data-driven age. ≥≥

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M. Fontaine talks to ADASP about Gaussian scale mixture representation for blind source separation ≥≥