SLoClas: A Database for Joint Sound Localization and Classification

We present a new database namely Sound Localization and Classification (SLoClas) corpus, for studying and analyzing 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, 6 types of outdoor noise are recorded at 4 DoAs, using the same devices. We release this database for research purpose only. If you use this corpus, cite the following paper Qian Xinyuan, Bidisha Sharma, Amine El Abridi, and Haizhou Li. "SLoClas: A Database for Joint Sound Localization and Classification." <em>arXiv preprint arXiv:2108.02539</em> (2021).