AID: Open-source Anechoic Interferer Dataset
Philipp G\"otz, Cagdas Tuna, Andreas Walther, Emanu\"el A. P. Habets

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.
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Taxonomy
TopicsSpeech and Audio Processing · Music and Audio Processing · Acoustic Wave Phenomena Research
MethodsLib
