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\def\name{Samuel Perry}
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\begin{minipage}[t]{0.495\textwidth}
20 Lower Luton Road\\
Wheathampstead\\
Hertfordshire\\
AL4 8QZ\\
\end{minipage}
\begin{minipage}[t]{0.495\textwidth}
Phone: (+44) 7766 521596\\
Email: \href{mailto:samuel.perry89@gmail.com}{samuel.perry89@gmail.com} \\
Linked-in: \\\href{https://uk.linkedin.com/in/sam-perry-04245438}{https://uk.linkedin.com/in/sam-perry-04245438}
\end{minipage}
\section*{Personal Profile}
A highly motivated and ambitious graduate with a background in programming and
digital signal processing in a musical context. Aiming to further knowledge and
understanding of digital signal processing techniques, building on previous
experience in this area. Capable of understanding and utilising signal
processing techniques for the realization of signal processing applications for
a variety of use cases, as proved through recent studies and employment.
Through further studies in a technically oriented environment, the objective
is to gain a deeper understanding in this field in order to facilitate future
employment or research opportunities.
\section*{Employment}
\subsection*{Institut de Recherche et Coordination Acoustique/Musique (IRCAM)}
Role: Student Research Assistant \\
Team: Analysis \& Synthesis team \\
Location: Paris, France \\
Period: August 2014 - July 2015 \\
\newline
\textbf{Description}
\vspace{0.5em}\\
Worked on a range of DSP related projects and tasks for the Analysis and
Synthesis team. Modified and improved a number of programs, primarily in
Python, with particular focus on vocal and musical processing. Major
project involved using audio descriptor analyses to drive transformations
on vocal corpus. Worked alongside a variety of researchers and
professionals, developing new and innovative signal processing techniques in
fields of research such as such as vocal transformations and audio/musical
content analysis. \\
\newline
\textbf{Key areas explored}
\begin{itemize}
\item \textit{Audio content analysis}\\
Utilised a number of audio descriptors to test for similarities in
audio for a content matching algorithm
\item \textit{Vocal segmentation/classification}\\
Improved the efficiency of the content matching algorithm through
addition of vocal segment classification and tree search algorithm.
\item \textit{Distributed computing/Asynchronous processing}\\
Debugged and improved a program that utilised distributed task
scheduling for computation heavy analysis of audio
\end{itemize}
\newpage
\section*{Education}
\begin{itemize}
\item Music Technology (BA) --- The University of Huddersfield, 2012 -- 2016.
\begin{itemize}
\item \emph{Predicted Classification:} First class degree
\item \emph{Final Research Project:} ``Audio Descriptor Driven
Concatenative Synthesis of Corpus Databases'' \\
--- details of which can be found at:
\href{http://pezz89.github.io/pysound/}{http://pezz89.github.io/pysound/}.
\end{itemize}
\item Music Technology BTEC Extended Diploma --- Oaklands College Welwyn, 2010 -- 2012.
\begin{itemize}
\item \emph{Achievement:} Triple distinction awarded.
\end{itemize}
\end{itemize}
\subsection*{Music Technology (BA)}
\textbf{Overview}
\vspace{0.5em}\\
Study involved developing a broad understanding of musical signal
processing techniques through modules in topics such as DSP, Interactive
Sound Design and a final research project based on a novel technique for
audio synthesis. \\
A detailed understanding of signal processing methods such as signal filtering,
spectral and temporal analysis, and granular synthesis were developed
through the practical application of these techniques for creative
purposes. Developer environments and languages such as Matlab, Python and
C++ were used to apply these concepts in software. An understanding of
application in hardware was also developed through the use of
microcontrollers to develop implementations of digital filters.
\paragraph{Final Year Confirmed Grades}
\begin{itemize}
\item \itab{Independent Project}\tab{}\tab{---}\tab{77\%}
\item \itab{Digital Signal Processing}\tab{}\tab{---}\tab{84\%}
\item \itab{Interactive Sound Design}\tab{}\tab{---}\tab{71\%}
\end{itemize}
\section*{Key Skills}
\textit{Competent in the following programming languages, packages and environments:}
\begin{multicols}{3}
\begin{itemize}
\item Python
\item Matlab
\item C++
\item \LaTeX
\item Max/MSP
\item Vim
\item Bash script
\item Mac OSX
\item Git
\item HDF5 File system
\item Unix
\end{itemize}
\end{multicols}
\section*{References}
\begin{table}[h]
\centering
\label{my-label}
\begin{tabular}{ll}
\textit{Employer Reference} & \textit{Academic Reference} \\
\begin{tabular}[c]{@{}l@{}}
Axel Roebel \\
Head of the Analysis/Synthesis Research Team \\
IRCAM \\
Research Institute, Paris \\
Contact details available on request. \\
\end{tabular} & \begin{tabular}[c]{@{}l@{}}
Alex Harker \\
Huddersfield University Lecturer \\
The University of Huddersfield \\
University Telephone: 01484 473043 \\
E-mail: a.harker@hud.ac.uk \\
\end{tabular}
\end{tabular}
\end{table}
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{\small Last updated: \today}
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