Data-driven local average room transfer function estimation for multi-point equalization

HIGHLIGHTS

• who: Cagdas Tuna et al. from the Fraunhofer Institute for Integrated Circuits IIS, Am Wolfsmantel, Erlangen, Germany have published the paper: Data-driven local average room transfer function estimation for multi-point equalization, in the Journal: (JOURNAL) of 16/Dec/2022
• what: The aim of this work was the development of a proof of concept that could operate in a variety of room sizes ranging from very small rooms to very large ones.
• how: This article presents a method that estimates a spatially averaged (RTF) from a single-point RTF in the low . . .
  

   

  

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