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Identification of Beehive Piping Audio Signals
- Citation Author(s):
- Submitted by:
- Dominique Fourer
- Last updated:
- Mon, 10/04/2021 - 08:16
- DOI:
- 10.21227/53mq-g936
- Data Format:
- License:
- Categories:
- Keywords:
Abstract
We introduce a novel dataset of bee piping audio signals which was built by collecting 44 different recordings which were published by various beekeepers on the YouTube platform.
Each recording has a duration varying from 2 to 13 seconds and is annotated according to the beekeeper comment respectively as Tooting or Quacking.
We extracted the audio using ``YouTube soundtrack extraction'' from 14 distinct videos from which the signal is stored without a loss of quality into a WAVE file with a sampling frequency of F_s=22.05 kHz and a sample precision of 16 bits.
After removing the silent frames, the resulting dataset contains 36 tooting and 8 quacking signals which correspond to a duration of 145 seconds for tooting and 60 seconds for quacking (total 205 seconds).
For copyright reasons, we only made publicly available the short-time Fourier transforms matrices and the timbre descriptors computed using a matlab implementation of the timbre toolbox proposed by Peeters et al. in 2011.
A more detailed description of the dataset containing the links of the original youtube videos can be found
Dataset Files
- piping_dataset.zip (83.18 MB)
- piping_mfiles.zip (3.05 kB)
Documentation
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