Paper ID: 2208.03023

AID: Open-source Anechoic Interferer Dataset

Philipp Götz, Cagdas Tuna, Andreas Walther, Emanuël A. P. Habets

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.

Submitted: Aug 5, 2022