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Soundscape Control Data
Datasets for training fine-grained soundscape control models (Target Sound Extraction + Sound Event Detection).
Paper: "Fine-grained Soundscape Control for Augmented Hearing" (MobiSys 2026 #198)
Hosted Datasets
DISCO (Domestic Indoor Sound Collection)
- License: CC-BY 4.0
- Attribution: Zenodo record 4019030
- Path:
disco/
CIPIC HRTF Database
- License: Public Domain (UC Davis)
- Attribution: UC Davis CIPIC Interface Lab
- Path:
cipic_hrtf/
External Datasets (Download Required)
FSD50K
- License: Mixed CC per-clip (CC0/CC-BY/CC-BY-NC)
- HuggingFace mirror:
Fhrozen/FSD50k - Setup:
python data/setup_data.py --datasets fsd50k
ESC-50
- License: CC-BY-NC 3.0 (Karol Piczak)
- HuggingFace mirror:
ashraq/esc50 - Setup:
python data/setup_data.py --datasets esc50
musdb18
- License: Academic/non-commercial only (custom)
- Download: Zenodo 1117372
- Requires manual download, then:
python data/setup_data.py --datasets musdb18 --manual_dir <path>
TAU Urban Acoustic Scenes 2019
- License: Tampere University custom (non-commercial, research only)
- Download: Zenodo 2589280
- ~35 GB, 21 zip files
- Requires manual download, then:
python data/setup_data.py --datasets tau --manual_dir <path>
Quick Start
# All datasets (auto + manual guide)
python data/setup_data.py --output_dir ./BinauralCuratedDataset
# Specific datasets
python data/setup_data.py --output_dir ./data --datasets fsd50k,esc50,disco,cipic
# With manually downloaded TAU/musdb18
python data/setup_data.py --output_dir ./data --manual_dir ./manual_downloads
Citation
If you use these datasets, please cite the original dataset papers and:
@inproceedings{oh2026fine,
title={Fine-Grained Soundscape Control for Augmented Hearing},
author={Oh, Seunghyun and Itani, Malek and Gauri, Aseem and Gollakota, Shyamnath},
booktitle={ACM MobiSys},
year={2026}
}
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