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On Musical Information Geometry with Applications to Sonified Image Analysis
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<div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 87358</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">On Musical Information Geometry with Applications to Sonified Image Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shannon%20Steinmetz">Shannon Steinmetz</a>, <a href="https://publications.waset.org/abstracts/search?q=Ellen%20Gethner"> Ellen Gethner</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a theoretical foundation is developed for patterned segmentation of audio using the geometry of music and statistical manifold. We demonstrate image content clustering using conic space sonification. The algorithm takes a geodesic curve as a model estimator of the three-parameter Gamma distribution. The random variable is parameterized by musical centricity and centric velocity. Model parameters predict audio segmentation in the form of duration and frame count based on the likelihood of musical geometry transition. We provide an example using a database of randomly selected images, resulting in statistically significant clusters of similar image content. <iframe src="https://publications.waset.org/abstracts/133600.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sonification" title="sonification">sonification</a>, <a href="https://publications.waset.org/abstracts/search?q=musical%20information%20geometry" title=" musical information geometry"> musical information geometry</a>, <a href="https://publications.waset.org/abstracts/search?q=image" title=" image"> image</a>, <a href="https://publications.waset.org/abstracts/search?q=content%20extraction" title=" content extraction"> content extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=automated%20quantification" title=" automated quantification"> automated quantification</a>, <a href="https://publications.waset.org/abstracts/search?q=audio%20segmentation" title=" audio segmentation"> audio segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=pattern%20recognition" title=" pattern recognition"> pattern recognition</a> </p> <a href="https://publications.waset.org/abstracts/133600/on-musical-information-geometry-with-applications-to-sonified-image-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133600.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">237</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a 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