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<p>The materials, methods, data, and analyses are available in public GitHub repositories linked through this project. A description of each of the components of this research is as follows:</p> <ul> <li><strong>Telephone app.</strong> The primary method used in this research consisting of the code used to create a web app for collecting vocal imitations, as well as additional experiments conducted using the imitations as materials, such as transcriptions of imitations and accuracy in matching imitations to seed sounds.</li> <li><strong>Category learning experiment.</strong> Materials for conducting the category learning experiment that tasked participants with learning novel labels (transcriptions of vocal imitations) for categories of environmental sounds.</li> <li><strong>Measuring acoustic similarity.</strong> Materials and methods for conducting analyses of acoustic similarity of the imitations. This repo includes methods for collecting behavioral measures (perceptions of acoustic similarity) as well as automated measures.</li> <li><strong>Data.</strong> Links to and instructions for all data sets, many of which can be installed as an R package.</li> <li><strong>Analyses.</strong> Contains a dynamic document used to submit this research as a manuscript to print journals.</li> </ul>
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