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authorAndré Nusser <andre.nusser@googlemail.com>2020-02-10 15:32:35 +0100
committerAndré Nusser <andre.nusser@googlemail.com>2020-02-10 15:32:35 +0100
commitf85ddfcaf9cd2ab534f8395945a104d8d89391a0 (patch)
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parent6402bb72784f921c029df379285a3e751532157d (diff)
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\maketitle
\begin{abstract}
-\noindent Sampling drum kits well is a difficult and challenging task. Especially, building a drum kit sample bank with different velocity layers requires producing samples of very similar loudness, as changing the gain of a sample after recording makes it sound less natural. An approach that avoids this issue is to not categorize the samples in fixed groups but to simply calculate their loudness and then dynamically choose a sample, when a sample corresponding to e.g.\ a specific MIDI velocity is requested. We present a first investigation of algorithms doing this selection. The seemingly best candidate we implemented in DrumGizmo -- a free software drum plugin -- and we do experiments on how our suggested algorithms perform on the samples drum kits.
+\noindent Sampling drum kits well is a difficult and challenging task. Especially, building a drum kit sample bank with different velocity layers requires producing samples of very similar loudness, as changing the gain of a sample after recording makes it sound less natural. An approach that avoids this issue is to not categorize the samples in fixed groups but to simply calculate their loudness and then dynamically choose a sample, when a sample corresponding to e.g.\ a specific MIDI velocity is requested. We present a first investigation of algorithms doing this selection. The seemingly best candidate we implemented in DrumGizmo -- a free software drum plugin -- and we do experiments on how our suggested algorithm performs on the sampled drum kits.
\end{abstract}
\section{Introduction} \label{sec:introduction}