TUT Rare sound events, Development dataset

<p>TUT Rare Sound events 2017, development dataset consists of source files for creating mixtures of rare sound events (classes baby cry, gun shot, glass break) with background audio, as well a set of readily generated mixtures and recipes for generating them.</p> <p>The &quot;source&quot; part of the dataset consists of two subsets:</p> <ul> <li>background recordings from 15 different acoustic scenes,</li> <li>recordings with the target rare sound events from three classes, accompanied by annotations of their temporal occurrences,</li> <li>a set of meta files providing the cross-validation setup: lists of background and target event recordings split into training and test subsets (called &quot;devtrain&quot; and &quot;devtest&quot;, respectively, indicating they are provided as the development dataset, as opposed to the evaluation dataset released separately).&nbsp;</li> </ul> <p>The mixture set consists of two subsets (training and testing), each containing ~1500 mixtures (~500 per target class in each subset, with half of the mixtures not containing any target class events).&nbsp;</p> <p>&nbsp;</p> <p>The collection of the background recording data has been financially supported by European Research Council under the European Unions H2020 Framework Programme through ERC Grant Agreement 637422 EVERYSOUND.</p>