AID: Open-source Anechoic Interferer Dataset
Provides a resource for researchers working on acoustic scene analysis or speech enhancement in domestic environments, but is an incremental contribution as it is a dataset rather than a novel method.
The authors present an open-source dataset of anechoic recordings of domestic sound sources and a Python library for generating random mixtures, enabling simulation of complex acoustic scenes with non-stationary interference.
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.