TAU Sound Events and Speech Privacy Preservation

TAU Sound Events and Speech Privacy Preservation

Description

The TAU Sound Events and Speech Privacy Preservation Dataset is a collection of audio data used in the work "Adversarial Representation Learning for Robust Privacy Preservation in Audio" by S. Gharib, M. Tran, D. Luong, K. Drossos, and T. Virtanen. The dataset is created by merging subsets of the Freesound 50k Dataset (FSD50K) and the LibriSpeech corpus. Both FSD50K and LibriSpeech are licensed under the Creative Commons license. The dataset contains of ~5000 one-second sound event samples with or without speech content provided in WAV and NumPy array format (approximately half of the samples contains speech). The creation of the dataset ensures an equal number of samples for male and female speakers across each sound event class. The sound event classes included in this dataset are: dog barking glass breaking gun shot cough slam applause dished pot pan toilet flush cat meowing doorbell crying drill Please check the README for better understanding of the dataset.
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Year of publication

2023

Authors

Konstantinos Drossos - Creator

Minh Tran - Creator

Shayan Gharib - Creator

Tuomas Virtanen - Creator

Unknown organization

Diep Luong - Creator

Zenodo - Publisher

Other information

Fields of science

Computer and information sciences

Language

English

Open access

Open

License

Creative Commons Attribution NonCommercial 4.0 International (CC BY NC 4.0)

Keywords

Computer and information sciences
TAU Sound Events and Speech Privacy Preservation - Research.fi