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Volleylitics Whistle Detection Dataset
Overview
This dataset contains full match audio recordings and whistle annotations for training and evaluating whistle detection models in indoor volleyball environments.
The dataset is designed for:
- DSP-based whistle detection
- Audio classification (CNN)
- Acoustic event detection research
Audio Format
- Format: WAV
- Sample rate: 22.05kHz
Structure
match1.wav
match2.wav
...
whistles_all.json whistles_all_anchored.json whistles_all_reanchored.json
Annotation Format
Each annotation JSON contains:
{
"match_id": "match1",
"whistle_id": 0,
"time": 395.705,
"type": "other",
"t_raw": 395.705,
"global_id": 0,
"t_anchor": 395.663
},
{
"match_id": "match1",
"whistle_id": 1,
"time": 396.473,
"type": "other",
"t_raw": 396.473,
"global_id": 1,
"t_anchor": 396.303
},
t_raw is the time of a manual labeling to a whistle sound. t_anchor is the time of anchoring by some features (band_peak)
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