SPASS dataset: A synthetic polyphonic dataset with spatiotemporal labels of sound sources

<p>SPASS is a synthetic dataset that consists of 10-seconds audio segments from 5 acoustic scenes:</p> <ul> <li>Park</li> <li>Square</li> <li>Street</li> <li>Waterfront</li> <li>Market</li> </ul> <p>Each acoustic scene has 5,000 audio recordings and its corresponding metadata.</p> <p>The audio recordings were created using a 3D acoustic simulation environment (RAVEN, <a href="https://www.virtualacoustics.org/RAVEN/">https://www.virtualacoustics.org/RAVEN/</a>).</p> <p>SPASS was made as a training dataset for the FuSA system (<a href="https://www.acusticauach.cl/fusa/">https://www.acusticauach.cl/fusa/</a>).&nbsp; This is a polyphonic dataset for Sound Event Detection (SED) tasks.</p> <p>The metadata files includes the class of each sound event, their onset and offset in time, the position in the space (cartesian) and their final position if the class was moving.</p> <p>This research was funded by ANID FONDEF grant number ID20I10333.</p>