AID: Open-source Anechoic Interferer Dataset

TL;DR

This paper introduces AID, an open-source dataset of anechoic domestic sounds and a Python tool for generating complex acoustic scenes with non-stationary interference, aiding research in realistic audio environments.

Contribution

It provides a comprehensive dataset of domestic sounds and a Python library for simulating complex acoustic scenes with non-stationary noise signals.

Findings

Dataset includes diverse domestic sound sources.

Python library enables realistic simulation of acoustic environments.

Facilitates research in non-stationary environmental noise.

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.