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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):&nbsp;<a href="https://ieeexplore.ieee.org/abstract/document/10094650">https://ieeexplore.ieee.org/abstract/document/10094650</a></p> <p>Link to paper (arxiV):&nbsp;<a href="https://arxiv.org/pdf/2211.09376.pdf">https://arxiv.org/pdf/2211.09376.pdf</a></p> <p>Link to dataset:&nbsp;<a href="https://doi.org/10.5281/zenodo.7253729">https://doi.org/10.5281/zenodo.7253729</a></p> <p><strong>Cite as:</strong>&nbsp;Kumar, S., Anshuman, B., R&uuml;ttimann, L., Hahnloser, R.H. and Arora, V., 2023, June. Balanced Deep CCA for Bird Vocalization Detection. In&nbsp;<em>ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</em>&nbsp;(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