Multimodal Birds Song Dataset: TwoRadioBirds
<p>A multi-modal dataset containing recordings of an adult male and female Zebra Finch bird using a microphone and two accelerometer sensors. The dataset consists of eleven data files of 1 hr. duration each, out of which three are densely annotated, and eight are unlabelled. Each file contains data from a microphone (audio) and two accelerometers (body vibration) channels. The data in all channels are sampled at a rate of 24000 Hz.</p> <p>Link to paper (IEEE Xplore): <a href="https://ieeexplore.ieee.org/abstract/document/10094650">https://ieeexplore.ieee.org/abstract/document/10094650</a></p> <p>Link to paper (arxiV): <a href="https://arxiv.org/pdf/2211.09376.pdf">https://arxiv.org/pdf/2211.09376.pdf</a></p> <p>Link to dataset: <a href="https://doi.org/10.5281/zenodo.7253729">https://doi.org/10.5281/zenodo.7253729</a></p> <p><strong>Cite as:</strong> Kumar, S., Anshuman, B., Rüttimann, L., Hahnloser, R.H. and Arora, V., 2023, June. Balanced Deep CCA for Bird Vocalization Detection. In <em>ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</em> (pp. 1-5). IEEE.</p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0