Datasets:
audio audioduration (s) 20 40 | label stringlengths 6 15 | user_hash stringclasses 1
value | phase int64 1 12 | db_rms float64 -71.2 -16.5 |
|---|---|---|---|---|
background | 846c53d25527881d | 1 | -71.2 | |
idle_breathing | 846c53d25527881d | 2 | -56.3 | |
antenna_slow | 846c53d25527881d | 3 | -31 | |
antenna_medium | 846c53d25527881d | 4 | -22.5 | |
antenna_fast | 846c53d25527881d | 5 | -16.5 | |
head_x | 846c53d25527881d | 6 | -54.3 | |
head_y | 846c53d25527881d | 7 | -50.5 | |
head_z | 846c53d25527881d | 8 | -59.1 | |
head_yaw | 846c53d25527881d | 9 | -50.9 | |
head_pitch | 846c53d25527881d | 10 | -50.6 | |
dance_smooth | 846c53d25527881d | 11 | -28.1 | |
dance_collision | 846c53d25527881d | 12 | -24.3 |
Reachy RENS - Motor Noise Dataset
Crowdsourced recordings of Reachy Mini robot motor noise for training ego-noise suppression models.
Purpose
This dataset enables training of real-time motor noise cancellation models (DTLN) that can:
- Remove motor whine from live audio streams
- Improve audio analysis (beat detection, speech recognition)
- Create cleaner livestream audio for robotics applications
Structure
data/
├── {user_hash_1}/
│ ├── background.wav # 15s room tone (silence)
│ ├── idle.wav # 15s idle/breathing motor noise
│ ├── active.wav # 30s active dance motor noise
│ └── metadata.json # Recording metadata
├── {user_hash_2}/
│ └── ...
Recording Specs
- Sample Rate: 16kHz
- Channels: Mono
- Format: WAV (16-bit PCM)
- Total Duration: ~60s per contributor
Contributing
Use the RENS data collector script:
pip install huggingface_hub sounddevice soundfile requests
huggingface-cli login
python rens_data_collector.py
Privacy
- Contributors are identified by anonymized hash only
- No personal information is collected
- Audio is reviewed locally before upload consent
License
CC-BY-4.0 - Free to use with attribution
Project
Part of the RENS (Reachy Ego-Noise Suppression) project. https://github.com/TwinPeaksTownie/reachy-mini
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