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2022
Conference Paper
Title
Aid: Open-Source Anechoic Interferer Dataset
Abstract
A 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.
Author(s)