In this paper we present an evolutionary algorithm for the design of stable IIR filters for binaural audio equalization. The filters are arranged as a cascade of second-order sections (SOS's) and the gravitational search algorithm (GSA) is used. This process seeks for optimal coefficients based on a fitness function, possibly leading to unstable filters. To avoid this, we propose two alternative methods. Experiments have been performed taking an in-car listening environment as the use case, characterized by multiple loudspeakers, thus, multiple impulse responses (IR). This technique has been compared with a previous heuristic method, achieving superior results.

Gravitational search algorithm for IIR filter-based audio equalization

Pepe G.;Gabrielli L.;Squartini S.;
2021

Abstract

In this paper we present an evolutionary algorithm for the design of stable IIR filters for binaural audio equalization. The filters are arranged as a cascade of second-order sections (SOS's) and the gravitational search algorithm (GSA) is used. This process seeks for optimal coefficients based on a fitness function, possibly leading to unstable filters. To avoid this, we propose two alternative methods. Experiments have been performed taking an in-car listening environment as the use case, characterized by multiple loudspeakers, thus, multiple impulse responses (IR). This technique has been compared with a previous heuristic method, achieving superior results.
978-9-0827-9705-3
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11566/289772
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