SINS is a database of continuous real-life audio recordings in a home environment. The home is a vacation home and one person lived there during the recording period of over on week. It was collected using a network of 13 microphone arrays distributed over the multiple rooms. Each microphone array consisted of 4 linearly arranged microphones. Recordings were annotated based on the level of daily activities performed in the environment.
Source: https://www.cs.tut.fi/sgn/arg/dcase2017/documents/workshop_papers/DCASE2017Workshop_Dekkers_141.pdf
Image Source: https://www.cs.tut.fi/sgn/arg/dcase2017/documents/workshop_papers/DCASE2017Workshop_Dekkers_141.pdf
Variants: SINS
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Link Prediction | mlp | Deep Learning in Mobile and … | 2018-03-12 |
Recent papers with results on this dataset: