Gravitational Search Algorithm For Iir Filter-Based Audio Equalization
28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020)(2021)
摘要
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.
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关键词
Gravitational search algorithm, Audio equalization, IIR filters, Automotive
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