Omkar2118/datasets huggingface dataset:
STARSS22
Full name: Sony-TAu Realistic Spatial Soundscapes 2022

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.

Source: [STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events](https://arxiv.org/pdf/2206.01948v2.pdf)

Image [https://arxiv.org/pdf/2206.01948v2.pdf](https://arxiv.org/pdf/2206.01948v2.pdf)

Introducing paper: STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events