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authorAndré Nusser <andre.nusser@gmail.com>2020-11-15 19:28:43 +0100
committerAndré Nusser <andre.nusser@gmail.com>2020-11-15 19:28:43 +0100
commit5d106d466a7323d57d2b88b3c0deb282626fcb5b (patch)
treeab92233c9ae402cad2d729c8f504fc2172747836
parente2c7b84f9dcd605aca37ea6e719b29f12ec6913f (diff)
Small rewording of abstract.
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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 algorithm performs on the sampled 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 performing 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}