VOICe Dataset

VOICe Dataset

Description

VOICe: A novel dataset for the development and evaluation of generalizable sound event detection domain adaptation methods! VOICe consists of 1449 different mixtures of three different sound events ("baby crying", "glass breaking", and "gunshot"): 1242 mixtures with background noise of three different categories of acoustic scenes ("vehicle"," outdoors", and "indoors"), mixed under 2 SNR values (-3, -9 dB), that is 207 mixtures x 3 acoustic scenes x 2 SNRs = 1242 207 mixtures without any background noise. VOICe is offered for sound event detection domain adaptation from one acoustic scene to another, or between sound events with background noise and without background noise. You can also find more information about the dataset in our paper: https://arxiv.org/pdf/1911.07098.pdf
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Year of publication

2020

Authors

Eemi Fagerlund - Creator

Konstantinos Drossos - Creator

Shayan Gharib - Creator

Tuomas Virtanen - Creator

Zenodo - Publisher

Other information

Fields of science

Computer and information sciences

Language

English

Open access

Restricted access

License

Other

Keywords

Computer and information sciences