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