AID: Open-source Anechoic Interferer Dataset
Audio and Speech Processing
2022-08-08 v1 Sound
Abstract
A dataset of anechoic recordings of various sound sources encountered in domestic environments is presented. The dataset is intended to be a resource of non-stationary, environmental noise signals that, when convolved with acoustic impulse responses, can be used to simulate complex acoustic scenes. Additionally, a Python library is provided to generate random mixtures of the recordings in the dataset, which can be used as non-stationary interference signals.
Keywords
Cite
@article{arxiv.2208.03023,
title = {AID: Open-source Anechoic Interferer Dataset},
author = {Philipp Götz and Cagdas Tuna and Andreas Walther and Emanuël A. P. Habets},
journal= {arXiv preprint arXiv:2208.03023},
year = {2022}
}
Comments
Accepted for publication at IWAENC 2022