Birdsong NOIZEUS: Bioacoustics noise reduction benchmark dataset
Description
------------------------------------------------------------------------
Birdsong noizeus dataset
------------------------------------------------------------------------
Authors: Tim Sainburg & Asaf Zorea
Year: 2024
------------------------------------------------------------------------
General information
------------------------------------------------------------------------
- There are 5 recordings from each of 14 individuals (European starlings) recorded in an acoustically isolated chamber.
- For each song, we apply noise at 5 SNR levels (0dB, 5dB, 10dB, 15dB).
- There are 8 noise types, each taken from a single noise clip from the "Soundscapes from around the world" dataset.
- They are "rain", "town", "wind", "waterfall", "insect", "swamp" "frogscape", "forest"
- Each soundscape contains multiple noise sources.
- Noise levels were estimated using the pyloudnorm software (Steinmetz et al., 2021)
- Audio is provided as waveforms at 44100 samplerate
------------------------------------------------------------------------
Data format
------------------------------------------------------------------------
- clean
- {bird_name}_{timestamp}.wav
- noisy
- {snr}dB
- {bird_name}_{timestamp}_{noise_category}_{snr}.wav
- noise_sample
- {snr}dB
- {bird_name}_{timestamp}_{noise_category}_{snr}.wav
`clean` contains the original clean audio.
`noisy` contains the song+noise
`noise_sample` contains a 1-second sample of noise only.
Timestamp is in the format YYYY-MM-DD_HH-MM-SS-MILLISECONDS and refers to the time that the song was recorded.
------------------------------------------------------------------------
Data sources
------------------------------------------------------------------------
Birdsong
---------
Birdsong are acoustically isolated songs from 14 European Starlings
https://zenodo.org/records/3237218
Citation:
Arneodo, Z., Sainburg, T., Jeanne, J., & Gentner, T. (2019). An acoustically isolated European starling song library (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3237218
This dataset is available under the following license:
- Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/legalcode)
Noise
-----
Noise are taken from the Xeno-canto - "Soundscapes from around the world" dataset
https://www.gbif.org/dataset/ff571aeb-46bf-45c4-ad2c-af4d68315765
Citation:
Vellinga W (2024). Xeno-canto - Soundscapes from around the world. Xeno-canto Foundation for Nature Sounds. Occurrence dataset https://doi.org/10.15468/9u3zaq accessed via GBIF.org on 2024-10-17.
We sampled 8 soundscapes from this dataset:
1. Rain https://www.gbif.org/occurrence/4523646364
- Virginia
- 457s
- rain, Recording of the feeders in the backyard with a light rain falling on the leaf litter, while a freight train passes by ~1/2 mile away.
2. Town https://xeno-canto.org/696263
- 2:22
- the closer habitat are greater trees and coniferes ..smaller bushes ...some other Krautgärten ... traffic-noise is to hear..as airplanes,too.
- insects, birds, bells, traffic?, airplane
- Germany
3. Wind https://xeno-canto.org/911773
- 5:29
- Very windy day, grassland to shrubland habitat
- Wisconsin
4. Waterfall https://xeno-canto.org/406993
- 24:02
- sound scenes captured in a river forest with zarzas, hiedras and other matorrales at the edge of a small waterfall.
- Spain
5. Insect https://xeno-canto.org/454914
- 5:45
- Australia
- cicadias, birds,
6. Swanp https://xeno-canto.org/909875
- 2:24
- Swampy area along dirt road/trail. Species Include: American Bullfrog, Cricket Frogs, American Crow, Prothonotary Warbler, Red-winged Blackbird, Indigo Bunting, Northern Cardinal
7. Frogscape https://xeno-canto.org/718213
- 4:42
- European Tree Frog Hyla arborea Green Frog Pelophlyax sp.
- Austrial
8. Forest https://xeno-canto.org/900744
- 3:04
- Sweden
- A beautiful choir with frogs, toads, geese and ducks to enjoy in the darkness a foggy night.
All noise recordings have one of the following licensesL
- Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/)
- Creative Commons Attribution-ShareAlike 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
Additional information about the noise dataset
------------------------------------------------------------------------
citations
------------------------------------------------------------------------
Steinmetz, C. J., & Reiss, J. (2021, May). pyloudnorm: A simple yet flexible loudness meter in python. In Audio Engineering Society Convention 150. Audio Engineering Society.
Arneodo, Z., Sainburg, T., Jeanne, J., & Gentner, T. (2019). An acoustically isolated European starling song library (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3237218
Vellinga W (2024). Xeno-canto - Soundscapes from around the world. Xeno-canto Foundation for Nature Sounds. Occurrence dataset https://doi.org/10.15468/9u3zaq accessed via GBIF.org on 2024-10-17.
Files
birdsong_noizeus.zip
Additional details
References
- Arneodo, Z., Sainburg, T., Jeanne, J., & Gentner, T. (2019). An acoustically isolated European starling song library (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3237218
- Vellinga W (2024). Xeno-canto - Soundscapes from around the world. Xeno-canto Foundation for Nature Sounds. Occurrence dataset https://doi.org/10.15468/9u3zaq accessed via GBIF.org on 2024-10-17.
- Ian Dash, Luis Miranda, and Densil Cabrera, "Multichannel Loudness Listening Test," 124th International Convention of the Audio Engineering Society, May 2008