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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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