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DCASE 2021 Task 5: Few-shot Bioacoustic Event Detection Development Set

Authors: Morfi, Veronica; Stowell, Dan; Lostanlen, Vincent; Strandburg-Peshkin, Ariana; Gill, Lisa; Pamula, Hanna; Benvent, David; +5 Authors

DCASE 2021 Task 5: Few-shot Bioacoustic Event Detection Development Set

Abstract

General Description The development set for task 5 of DCASE 2021 "Few-shot Bioacoustic Event Detection" consists of 19 audio files acquired from different bioacoustic sources. The dataset is split into training and validation Sets. Multi-class annotations are provided for the training set with positive (POS), negative (NEG) and unkwown (UNK) values for each class. UNK indicates uncertainty about a class. Single-class (class of interest) annotations are provided for the validation set, with events marked as positive (POS) or unkwown (UNK) provided for the class of interest. Folder Structure Development_Set.zip |_Development_Set/ |__Training_Set/ |___BV/ |____*.wav |____*.csv |___HT/ |____*.wav |____*.csv |___JD/ |____*.wav |____*.csv |___MT/ |____*.wav |____*.csv |__Validation_Set/ |___HV/ |____*.wav |____*.csv |___PB/ |____*.wav |____*.csv Development_Set_Audio.zip has the same structure but contains only the *.wav files. Development_Set_Annotations.zip has the same structure but contains only the *.csv files Dataset statistics Some statistics on this dataset are as follows, split between training and validation set and their sub-folders: ----------------------------------------------------- TRAINING SET ----------------------------------------------------- Number of audio recordings | 11 Total duration | 14 hours and 20 mins Total classes (excl. UNK) | 19 Total events (excl. UNK) | 4,686 ----------------------------------------------------- TRAINING SET/BV ----------------------------------------------------- Number of audio recordings | 5 Total duration | 10 hours Total classes (excl. UNK) | 11 Total events (excl. UNK) | 2,662 Sampling rate | 24,000 Hz ----------------------------------------------------- TRAINING SET/HT ----------------------------------------------------- Number of audio recordings | 3 Total duration | 3 hours Total classes (excl. UNK) | 3 Total events (excl. UNK) | 435 Sampling rate | 6,000 Hz ----------------------------------------------------- TRAINING SET/JD ----------------------------------------------------- Number of audio recordings | 1 Total duration | 10 mins Total classes (excl. UNK) | 1 Total events (excl. UNK) | 355 Sampling rate | 22,050 Hz ----------------------------------------------------- TRAINING SET/MT ----------------------------------------------------- Number of audio recordings | 2 Total duration | 1 hour and 10 mins Total classes (excl. UNK) | 4 Total events (excl. UNK) | 1,234 Sampling rate | 8,000 Hz ----------------------------------------------------- ----------------------------------------------------- VALIDATION SET ----------------------------------------------------- Number of audio recordings | 8 Total duration | 5 hours Total classes (excl. UNK) | 4 Total events (excl. UNK) | 310 ----------------------------------------------------- VALIDATION SET/HV ----------------------------------------------------- Number of audio recordings | 2 Total duration | 2 hours Total classes (excl. UNK) | 2 Total events (excl. UNK) | 50 Sampling rate | 6,000 Hz ----------------------------------------------------- VALIDATION SET/PB ----------------------------------------------------- Number of audio recordings | 6 Total duration | 3 hours Total classes (excl. UNK) | 2 Total events (excl. UNK) | 260 Sampling rate | 44,100 Hz ----------------------------------------------------- Annotation structure Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows: TRAINING SET --------------------- Audiofilename, Starttime, Endtime, CLASS_1, CLASS_2, ...CLASS_N VALIDATION SET --------------------- Audiofilename, Starttime, Endtime, Q Classes DCASE2021_task5_training_set_classes.csv and DCASE2021_task5_validation_set_classes.csv provide a table with class code correspondace to class name for all classes in the Development set. DCASE2021_task5_training_set_classes.csv --------------------- dataset, class_code, class_name DCASE2021_task5_validation_set_classes.csv --------------------- dataset, recording, class_code, class_name Evaluation Set The Evaluation set for the same task can be found at: https://doi.org/10.5281/zenodo.5413149 Open Access This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. Contact info Please send any feedback or questions to: Veronica Morfi: g.v.morfi@qmul.ac.uk

Keywords

Ecology, Chemical Sciences not elsewhere classified, Science Policy, Plant Biology, dcase2021, audio event detection, bioacoustics, Genetics, Medicine, few-shot learning, Physical Sciences not elsewhere classified, Biotechnology, Developmental Biology, Biological Sciences not elsewhere classified

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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