Distribute tasks.

1 files changed, 30 insertions, 28 deletions

diff --git a/sampling_alg_lac2020/LAC-20.tex b/sampling_alg_lac2020/LAC-20.tex
index 47f5e7a..52eb740 100644
--- a/sampling_alg_lac2020/LAC-20.tex
+++ b/sampling_alg_lac2020/LAC-20.tex
@@ -187,6 +187,8 @@
 
 % TODO notes
 \newcommand{\todo}[1]{\textcolor{red}{\textbf{TODO:} #1}}
+\newcommand{\todoandre}[1]{\textcolor{green}{\textbf{TODO (André):} #1}}
+\newcommand{\todobent}[1]{\textcolor{blue}{\textbf{TODO (Bent):} #1}}
 
 % ugly hack
 \renewcommand{\paragraph}[1]{\textbf{#1}. }
@@ -262,54 +264,54 @@
 \end{abstract}
 
 \section{Introduction}
-\todo{Talk about the general problem of sample selection.}
-\todo{Limit scope to drums.}
-\todo{Talk about round robin.}
-\todo{Mention drawbacks.}
-\todo{Introduce high-level ideas of our work.}
-\todo{Make difference between humanization and sample selection clear.}
+\todoandre{Talk about the general problem of sample selection.}
+\todoandre{Limit scope to drums.}
+\todoandre{Talk about round robin.}
+\todoandre{Mention drawbacks.}
+\todoandre{Introduce high-level ideas of our work.}
+\todoandre{Make difference between humanization and sample selection clear.}
 
 \subsection{Related Work}
 \todo{I don't really know what to write, except about round robin. Is there any other common method or any academic literature? Are there other methods in open source programs?}
-\todo{Discuss DGs old sampling algorithm briefly.}
+\todobent{Discuss DGs old sampling algorithm briefly.}
 
 \subsection{Our Contribution}
-\todo{The main points are: Identify important aspects that sampling algorithms in this setting have to fulfill; Suggest a new algorithm based on those requirements; Implement and conduct experiments on this implementation.}
+\todoandre{The main points are: Identify important aspects that sampling algorithms in this setting have to fulfill; Suggest a new algorithm based on those requirements; Implement and conduct experiments on this implementation.}
 
 \section{Preliminaries}
-\todo{Talk about how the drum kit samples are usually created; very briefly.}
-\todo{Talk about loudness computation of samples.}
+\todobent{Talk about how the drum kit samples are usually created; very briefly.}
+\todobent{Talk about loudness computation of samples.}
 \todo{Mathematical basics (if there are any important ones).}
 \todo{Formalize the setting, i.e.\ what is the input/output of our algorithm?}
 
 \section{Requirements}
-\todo{Intuitively discuss the requirements of a good sampling algorithm.}
-\todo{List the requirements one by one and discuss them. Try to formalize them in some way.}
+\todoandre{Intuitively discuss the requirements of a good sampling algorithm.}
+\todoandre{List the requirements one by one and discuss them. Try to formalize them in some way.}
 
 \section{Algorithm}
-\todo{We have a multi-criteria optimization!}
-\todo{Talk about the general idea of a potential function.}
-\todo{Introduce the potential function of the algorithm.}
-\todo{Talk about the single terms of the potential function.}
-\todo{Maybe add some pseudo-code to make things easier to understand?}
+\todoandre{We have a multi-criteria optimization!}
+\todoandre{Talk about the general idea of a potential function.}
+\todoandre{Introduce the potential function of the algorithm.}
+\todoandre{Talk about the single terms of the potential function.}
+\todoandre{Maybe add some pseudo-code to make things easier to understand?}
 
 \section{Implementation}
-\todo{Give a short introduction to DrumGizmo, including a link to the git repository.}
+\todobent{Give a short introduction to DrumGizmo, including a link to the git repository.}
 \todo{Talk about the timeline, i.e., when were the releases and what is still unreleased?}
-\todo{Talk about how the sampling algorithm was implemented}
-\todo{Add some of the source code to the paper?}
-\todo{Give less important implementation details, e.g., like adaptive search starting from the most promising value}
+\todoandre{Talk about how the sampling algorithm was implemented}
+\todoandre{Add some of the source code to the paper?}
+\todoandre{Give less important implementation details, e.g., like adaptive search starting from the most promising value}
 
 \section{Experiments}
-\todo{Talk about the setup.}
-\todo{Talk about what the experiments should show: two close samples are chosen similarly often; playing the same MIDI note plays a reasonably varied sample set; average distance of one sample}
-\todo{Experiments are: playing fast sweeps (with multiple hits per velocity); playing a single note over and over again at the same velocity; sound examples that people can listen to online?}
-\todo{Do beautiful tables and plots here}
-\todo{Summarize experiments}
+\todoandre{Talk about the setup.}
+\todoandre{Talk about what the experiments should show: two close samples are chosen similarly often; playing the same MIDI note plays a reasonably varied sample set; average distance of one sample}
+\todoandre{Experiments are: playing fast sweeps (with multiple hits per velocity); playing a single note over and over again at the same velocity; sound examples that people can listen to online?}
+\todoandre{Do beautiful tables and plots here}
+\todoandre{Summarize experiments}
 
 \section{Conclusion and Future Work}
-\todo{Recapitulate what was done in this paper. Highlight some of the difficulties and surprises.}
-\todo{List future work: transforming the loudness space; refine the objective function; adapt algorithm to other instruments/settings; study to see what sounds good to people and do they actually hear the difference?}
+\todoandre{Recapitulate what was done in this paper. Highlight some of the difficulties and surprises.}
+\todoandre{List future work: transforming the loudness space; refine the objective function; adapt algorithm to other instruments/settings; study to see what sounds good to people and do they actually hear the difference?}
 
 \section{Acknowledgements}
 \todo{Thank people for testing?}