Sound tuning is an important step towards improved listening conditions in car interiors. In most cases it is done manually by sound engineers. This paper presents an approach for fully automated sound optimization. In a first step, loudspeaker and interior responses are captured by averaged binaural measurements. Then, the resulting frequency response is matched to a given reference curve. As automotive head units often provide limited capacity for audio filters, a small set of second order recursive filters is used for equalization. Numerical optimization leads to a minimum error response while maintaining psychoacoustic specifications. The presented method is used for fast and efficient frequency response correction as well as for copying sound characteristics of different car interiors.
https://www.aes.org/e-lib/browse.cfm?elib=17489
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