STARSS22
Sony-TAu Realistic Spatial Soundscapes 2022
AudioMIT licenseIntroduced 2022-06-04
The Sony-TAu Realistic Spatial Soundscapes 2022(STARSS22) dataset consists of recordings of real scenes captured with high channel-count spherical microphone array (SMA). The recordings are conducted from two different teams at two different sites, Tampere University in Tammere, Finland, and Sony facilities in Tokyo, Japan. Recordings at both sites share the same capturing and annotation process, and a similar organization. They are organized in sessions, corresponding to distinct rooms, human participants, and sound making props with a few exceptions.
Benchmarks
Sound Event Localization and Detection/Class-dependent localization errorSound Event Localization and Detection/Class-dependent localization recallSound Event Localization and Detection/location-dependent F1-score (macro)Sound Event Localization and Detection/location-dependent F1-score (micro)Sound Event Localization and Detection/Localization-dependent error rate (20°)