Birdsong NOIZEUS: Bioacoustics noise reduction benchmark dataset

------------------------------------------------------------------------Birdsong noizeus dataset------------------------------------------------------------------------ Authors: Tim Sainburg & Asaf ZoreaYear: 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 Starlingshttps://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" datasethttps://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.