Multimodal Birds Song Dataset: TwoRadioBirds

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. Link to paper (IEEE Xplore): https://ieeexplore.ieee.org/abstract/document/10094650 Link to paper (arxiV): https://arxiv.org/pdf/2211.09376.pdf Link to dataset: https://doi.org/10.5281/zenodo.7253729 Cite as: Kumar, S., Anshuman, B., Rüttimann, L., Hahnloser, R.H. and Arora, V., 2023, June. Balanced Deep CCA for Bird Vocalization Detection. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE.本多模态数据集收录了利用麦克风与双加速度计传感器采集的成年雄性、雌性斑胸草雀（Zebra Finch）的相关数据。数据集共包含11个时长为1小时的数据文件，其中3个已完成密集标注，剩余8个未标注。每个文件均包含麦克风（音频）与双加速度计（躯体振动）通道的数据，所有通道的采样率均为24000 Hz。 论文链接（IEEE Xplore）：https://ieeexplore.ieee.org/abstract/document/10094650 论文链接（arXiv）：https://arxiv.org/pdf/2211.09376.pdf 数据集链接：https://doi.org/10.5281/zenodo.7253729 引用格式：Kumar, S., Anshuman, B., Rüttimann, L., Hahnloser, R.H. 与 Arora, V., 2023年6月. 用于鸟类鸣唱检测的平衡型深度典型相关分析. 收录于：2023年IEEE国际声学、语音与信号处理会议（ICASSP 2023）（第1-5页）. IEEE.