|
|
--- |
|
|
pretty_name: Animal Sounds Collection |
|
|
description: > |
|
|
A collection of audio recordings for various animal vocalizations, including birds, dogs, Egyptian fruit bats, giant otters, macaques, orcas, and zebra finches. |
|
|
Useful for training and evaluating models in bioacoustics, species classification, and sound event detection. |
|
|
license: cc-by-4.0 |
|
|
|
|
|
configs: |
|
|
- config_name: birds |
|
|
data_files: "birds/*" |
|
|
- config_name: dogs |
|
|
data_files: "dogs/*" |
|
|
- config_name: egyptian_fruit_bat |
|
|
data_files: "egyptian_fruit_bat/*" |
|
|
- config_name: egyptian_fruit_bat_extended |
|
|
data_files: "egyptian_fruit_bat/*" |
|
|
- config_name: giant_otter |
|
|
data_files: "giant_otter/*" |
|
|
- config_name: macaque |
|
|
data_files: "macaque/*" |
|
|
- config_name: orca |
|
|
data_files: "orca/*" |
|
|
- config_name: zebra_finch |
|
|
data_files: "zebra_finch/*" |
|
|
--- |
|
|
|
|
|
# Animal Sounds Collection |
|
|
|
|
|
This dataset contains audio recordings of various animal vocalizations from a range of species, curated to support research in bioacoustics, species classification, and sound event detection. It includes clean and annotated audio samples from the following animals: |
|
|
|
|
|
- Birds |
|
|
- Dogs |
|
|
- Egyptian fruit bats |
|
|
- Giant otters |
|
|
- Macaques |
|
|
- Orcas |
|
|
- Zebra finches |
|
|
|
|
|
The dataset is designed to be lightweight and modular, making it easy to explore cross-species vocal behaviors or train models for species-specific tasks. |
|
|
|
|
|
This work is inspired by the excellent [Earth Species Project Library of Datasets](https://github.com/earthspecies/library), which also offers some additonal datasets. |
|
|
|
|
|
--- |
|
|
|
|
|
## Birds |
|
|
|
|
|
This dataset consists of songs and calls from 87 bird species and was originally released as part of the NIPS4B challenge. |
|
|
|
|
|
- **Recordings**: 686 |
|
|
- **Labels**: Multi-label per recording |
|
|
- **Sample rate**: 44,100 Hz |
|
|
- **Duration**: ~1s to ~5s |
|
|
- **Download**: [Internet Archive](https://archive.org/download/bird_songs) |
|
|
|
|
|
--- |
|
|
|
|
|
## Dogs |
|
|
|
|
|
This dataset consists of 693 recordings from 10 adult dogs (ages 3–13), recorded in three contexts: disturbance (e.g., doorbell ringing), isolation, and play. |
|
|
|
|
|
- **Device**: DCR VX2000 video recorder with built-in omni-directional mic |
|
|
- **Sample rate**: 48,000 Hz (16-bit) |
|
|
- **Download**: [Preprocessed](https://archive.org/details/dog_barks) | [Raw](https://archive.org/details/dog-barks-raw) |
|
|
- **Citation**: Yin, S. & McCowan, B. (2004). *Animal Behaviour*, 68, 343–355. |
|
|
|
|
|
--- |
|
|
|
|
|
## Egyptian Fruit Bats |
|
|
|
|
|
This dataset includes 10,000 recording. They are divided between the `egyptian_fruit_bat` and `egyptian_fruit_bat_extended` splits. Another larger sample (~90,000 samples) is available at the Internet Archive. |
|
|
|
|
|
In this repo, there are 10,000 recordings (1,000 per class), 4.9 GB. |
|
|
|
|
|
- **Sample rate**: 250,000 Hz |
|
|
- **Duration**: 0.02 to 34 seconds |
|
|
- **Labels**: Emitter, addressee, context, and behavior annotations |
|
|
- **Download**: [Internet Archive – 10k](https://archive.org/details/egyptian_fruit_bats_10k) |
|
|
|
|
|
--- |
|
|
|
|
|
## Giant Otters |
|
|
|
|
|
This dataset includes 441 recordings across 22 vocalization types, collected between 2009–2011 by Christina A. S. Mumm and Mirjam Knörnschild. |
|
|
|
|
|
- **Microphone**: Sennheiser MKH 416-P48U3 |
|
|
- **Recorders**: Zoom H2 Handy (48 or 96 kHz), with hydrophone (RESON TC4013) for underwater calls |
|
|
- **Bit depth**: 24-bit |
|
|
- **Download**: [Internet Archive](https://archive.org/details/giant_otters) |
|
|
- **Citation**: Mumm, C.A.S. & Knörnschild, M. (2016). *PLOS ONE*. [DOI](https://doi.org/10.1371/journal.pone.0112562) |
|
|
|
|
|
--- |
|
|
|
|
|
## Macaques |
|
|
|
|
|
This dataset contains 7,285 macaque coo calls from 8 individuals (4 males, 4 females), annotated at the individual level. |
|
|
|
|
|
- **Sample rate**: 5,756 files at 24,414 Hz, 1,529 at 44,100 Hz |
|
|
- **Duration**: 0.04s to 1.69s |
|
|
- **Download**: [Internet Archive](https://archive.org/details/macaque_coo_calls) |
|
|
- **Citation**: [PMC Article](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4806230/) |
|
|
|
|
|
--- |
|
|
|
|
|
## Orcas |
|
|
|
|
|
This dataset comes from the Orcasound Project and contains two versions: |
|
|
|
|
|
- **Classification version**: 4-second clips, 398 positive and 196 negative examples |
|
|
- **Sample rate**: 44,100 Hz |
|
|
- **Download**: [Internet Archive](https://archive.org/details/orcas_classification) |
|
|
|
|
|
--- |
|
|
|
|
|
## Zebra Finches |
|
|
|
|
|
Collected between 2011–2014 by Julie E. Elie at UC Berkeley using zebra finches from the Theunissen Lab colony. |
|
|
|
|
|
- **Recordings**: 3,405 across 11 call types |
|
|
- **Subjects**: Adults and ~30-day-old juveniles |
|
|
- **Labels**: Call type, individual, age |
|
|
- **Sample rate**: Not specified |
|
|
- **Download**: [Figshare](https://ndownloader.figshare.com/articles/11905533/versions/1) |
|
|
- **Citations**: |
|
|
- Elie & Theunissen (2016). *Anim Cogn*. [DOI](https://doi.org/10.1007/s10071-015-0933-6) |
|
|
- Elie & Theunissen (2018). *Nat Commun*. [DOI](https://doi.org/10.1038/s41467-018-06394-9) |
|
|
|
|
|
--- |
|
|
|
|
|
## Citation |
|
|
|
|
|
If you use this collection, please cite the original sources provided in each section above. |
|
|
|
