Datasets › NAR
NAR
NAR is a dataset of audio recordings made with the humanoid robot Nao in real world conditions for sound recognition benchmarking. All the recordings were collected using the robot’s microphone and thus have the following characteristics: - recorded with low-quality sensors (300 Hz – 18 kHz bandpass) - suffering from typical fan noise from the robot’s internal hardware - recorded in mutiple real domestic environments (no special acoustic charateristics, reverberations, presence of multiple sound sources and unknown locations)
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- NAR
1 variant name, as the archive lists them.
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