Published February 17, 2022
| Version Version 1.0.0
Dataset
Open
Wearable SELD Dataset
- 1. Waseda University
- 2. NTT Corporation
Description
Wearable SELD dataset is a dataset to develop a sound event localization and detection (SELD) system with wearable devices. The dataset contains recordings collected by using wearable devices such as an earphone, a neck speaker, a headphone, and glasses. Wearable SELD dataset has three types of datasets as below.
- Earphone type dataset: It contains recordings collected by 12 microphones placed around the ears mimicking microphones.
- Mounting type dataset: It contains recordings collected by 12 microphones placed around the head with some accessories mimicking glasses, a headphone, and a neck speaker.
- FOA format dataset: It contains 4 channels recordings collected by an ambisonic microphone to allow comparison with conventional methods using FOA format and those using the above datasets.
Further information is available at https://github.com/nttrd-mdlab/wearable-seld-dataset/
License: see the file named LICENSE.pdf
Files
FOA_format_dataset.zip
Files
(142.8 GB)
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