Finished first draft of background
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\documentclass{scrartcl}
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\usepackage{enumitem}
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\usepackage[british]{babel}
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\graphicspath{{./resources/}}
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\addbibresource{~/PerryPerrySource/LaTeX/library.bib}
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\usepackage{etoolbox}
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\makeatletter
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\expandafter\patchcmd\csname\string\maketitle\endcsname
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Progress has also been made in improving the quality of instrument
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synthesis. As with speech synthesis, the use of samples directly allows for
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natural sounding results, which provides a method for reproducing real
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instruments convincingly. An important aspect of instrument synthesis is
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that of performer expression. The reproduction of performance qualities
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such as dynamics, timbre and timing are an important factor and CS has been
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used to effectively reproduce these aspects. This is achieved through
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splicing of grains based on their characteristics to form musical phrases.
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Just as a performer might transition seamlessly from one musical phrase to
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the next, the CS software will join grains to produce the varying
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articulations and transitions. This contrasts the traditional approach to
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sampling, where samples are played in isolation, resulting in a
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discontinuity between adjacent samples. The comercial software synthesizer
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``Synful'' (\url{www.synful.com}) successfully demonstrates the use of
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CS to produce highly convincing recreations of orchestral instrument
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performances.~\parencite[p.82]{Lindemann2007}.
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instruments convincingly.\\
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Another important aspect of instrument synthesis is that of performer
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expression. The reproduction of performance qualities such as dynamics,
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timbre and timing are essential when emulating a real instrument and CS has
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been used to effectively reproduce these aspects. This is achieved through
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splicing of grains based on their expressive characteristics to form
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musical phrases. For example, just as a violinist might transition
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seamlessly from one articulation to the next, the CS software will join
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grains to produce the varyation in articulations. This contrasts the
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traditional approach to sampling, where samples are played in isolation,
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resulting in a discontinuity between adjacent samples. The comercial
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software synthesizer ``Synful'' (\url{www.synful.com}) successfully
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demonstrates the use of CS to produce highly convincing recreations of
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orchestral instrument performances in real-time.
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~\parencite[p.82]{Lindemann2007}.
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\subsubsection*{Creative Sound Design}
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The flexibilty of CS allows for creativity in a broader context than simply
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emulating real-world instruments and speech. It can also be used as a tool
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to explore the possibilities for synthesizing new abstract sounds for
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creative purposes.
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One example of this is Tremblay and Schwarz's~\citeyearpar{Tremblay2010}
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use of ``audio mosaicing'' to explore electroacoustic sample banks. CS is
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used in this context as a means for synthesizing matches in a corpus
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database to real-time input from an electric bass. Significance is placed
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on linking the playback of grains to the expressivity of the performer. The
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use of perceptualy based audio descriptors to match the source to the
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target allows the performer to navigate the database intuitively based on
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factors such as the pitch and timbre of the bass guitar. The result is a
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performance that mixes characteristics of both the bass guitar performance
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and the qualities of the corpus database to create a hybrid of the two.
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further forms of concatenative synthesis techniques include: Spectral resynthesis (see tremblay sect 4.1.2)
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creative purposes.\\
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A prominent project in this area of CS is IRCAM's CataRT project *needs
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reference*. The project focuses on the playback of source grains based on
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their proximity to a target in multi-dimensional descriptor space.
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By providing a target point in the descriptor space, the user is able to
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navigate the database, playing selections of samples that are nearest to
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the target. This allows the user to explore the database intuitively
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through a graphic user interface, selecting a point in 2-dimensional space
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with the mouse. Grains are then played back in real-time to create an
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``audio mosaic''.\\
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Alternatively, target audio can be provided and analysed to create a target
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location based on it's location in the descriptor space. Tremblay and
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Schwarz's~\citeyearpar{Tremblay2010} use of CataRT to explore
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electroacoustic sample banks demonstrates the creative potential of this
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method. CS is used in this context as a means for synthesizing matches in a
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corpus database to real-time input from an electric bass. Significance is
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placed on linking the playback of grains to the expressivity of the
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performer. The use of perceptualy based audio descriptors to match the
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source to the target allows the performer to navigate the database
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naturally based on factors such as the pitch and timbre of the bass
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guitar. The result is a performance that mixes characteristics of both the
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bass guitar output and the qualities of the corpus database to create a
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hybrid of the two.
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\section*{Concatenator Program Design and Implementation}
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Aims:
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instrument resynthesis onto a pre-existing source sound, rather than from scratch onto things like midi notes.
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Offline processing to allow for large databases to be used - disadvantage: loss of feedback between performer and system, as described in PA's paper.
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advantage: Real-time approach results in reduced continuity of grains
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\subsection*{Framework Design}
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\subsection*{Descriptor Implementation}
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\subsection*{Matching Algorithms}
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\subsection*{Synthesis and Transformations}
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\subsection*{Command line Interface}
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High quantity of parameters is very time consuming ~\parencite{Petrushin2007}
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@@ -174,7 +185,9 @@
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Given the limited time frame and complexity of modern approaches to this
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form of synthesis, only a basic implementation was possible.
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Spectral matching~\parencite{Hoffman2009}
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Use of RPM?~\parencite[p.82]{Lindemann2007}
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Viterbi path search~\parencite[p.1]{Schwarz2006a}
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\section*{Conclusion}
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