Wearable SELD Dataset

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