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  4. Aid: Open-Source Anechoic Interferer Dataset
 
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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)
Götz, Philipp
Tuna, Cagdas
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Walther, Andreas  
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Habets, Emanuël Anco Peter
Mainwork
International Workshop on Acoustic Signal Enhancement, IWAENC 2022. Proceedings  
Conference
International Workshop on Acoustic Signal Enhancement 2022  
DOI
10.1109/IWAENC53105.2022.9914732
Language
English
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Keyword(s)
  • anechoic

  • dataset

  • noise

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