This repository is for generating spherical microphone array room impulse response in sound event localization and detection (SELD) task.
The directory of sound event datasets should look like:
./sound_event_datasets ├────bell │ ├── Bicycle_bell │ │ └── 29623.wav │ ├── Chime │ └── Doorbell └────Clapping └─── Clapping ├── 2080.wav └── 2081.wav
Then run:
python make_dataset.py 1
FOA Converter has not yet fully completed. We will also release codes of this part as soon as possible.
Please consider citing our paper if you find this code useful for your research.
[1] Jinbo Hu, Yin Cao, Ming Wu, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, and Jun Yang, "Selective-Memory Meta-Learning with Environment Representations for Sound Event Localization and Detection" arXiv preprint arXiv:2312.16422, 2023. URL