Götz, PhilippPhilippGötzTuna, CagdasCagdasTunaWalther, AndreasAndreasWaltherHabets, Emanuël Anco PeterEmanuël Anco PeterHabets2023-07-132023-07-132022https://publica.fraunhofer.de/handle/publica/44560310.1109/IWAENC53105.2022.99147322-s2.0-85141431303A dataset of anechoic recordings of various sound sources en-countered 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.enanechoicdatasetnoiseconference paper