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

Tuna C, Zevering A, Prinn AG, Götz P, Walther A, Habets E (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Journal of the Acoustical Society of America Acoustical Society of America

Book Volume: 152

Pages Range: 3635-3647

Journal Issue: 6

DOI: 10.1121/10.0016592

Abstract

Multi-point room equalization (EQ) aims to achieve a desired sound quality within a wider listening area than single-point EQ. However, multi-point EQ necessitates the measurement of multiple room impulse responses at a listener position, which may be a laborious task for an end-user. This article presents a data-driven method that estimates a spatially averaged room transfer function (RTF) from a single-point RTF in the low-frequency region. A deep neural network (DNN) is trained using only simulated RTFs and tested with both simulated and measured RTFs. It is demonstrated that the DNN learns a spatial smoothing operation: notches across the spectrum are smoothed out while the peaks of the single-point RTF are preserved. An EQ framework based on a finite impulse response filter is used to evaluate the room EQ performance. The results show that while not fully reaching the level of multi-point EQ performance, the proposed data-driven local average RTF estimation method generally brings improvement over single-point EQ. (C) 2022 Author(s

Authors with CRIS profile

Philipp Götz International Audio Laboratories Erlangen (AudioLabs) Emanuël Habets Lehrstuhl für wahrnehmungsbasierte räumliche Audiosignalverarbeitung (Stiftungslehrstuhl)

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE)

How to cite

APA:

Tuna, C., Zevering, A., Prinn, A.G., Götz, P., Walther, A., & Habets, E. (2022). Data-driven local average room transfer function estimation for multi-point equalization. Journal of the Acoustical Society of America, 152(6), 3635-3647. https://dx.doi.org/10.1121/10.0016592

MLA:

Tuna, Cagdas, et al. "Data-driven local average room transfer function estimation for multi-point equalization." Journal of the Acoustical Society of America 152.6 (2022): 3635-3647.

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