SLoClas: A Database for Joint Sound Localization and Classification

<p>We present a new database namely Sound Localization and Classification (SLoClas) corpus, for studying and analyzing&nbsp; sound localization and classification. The corpus contains a total of 23.27 hours of data recorded using a 4-channel microphone array. 10 classes of sounds are played over a loudspeaker at 1.5 meters distance from the array by varying the DoA from 1 degree to 360 degree at an interval of 5 degree. To facilitate the study of noise robustness,&nbsp; 6&nbsp; types of outdoor noise are recorded at 4 DoAs, using the same devices.</p> <p>We release this database for research purpose only. If you use this corpus, cite the following paper</p> <p>Qian Xinyuan, Bidisha Sharma, Amine El Abridi, and Haizhou Li. &quot;SLoClas: A Database for Joint Sound Localization and Classification.&quot; <em>arXiv preprint arXiv:2108.02539</em> (2021).</p> <p>&nbsp;</p>