This paper presents an algorithm for immersive processing of a multichannel recording for headphone listening. The material listened to with headphones should evoke impressions in the listener that are identical to those experienced when listening from a multi-speaker system. In order to allow the processing system to be adapted to the individual anatomical characteristics of the listener, an algorithm was developed, which is based on data in the form of directional room impulse responses acquired with an intensity probe, in the form of classical room pressure impulse responses at the excitation emitted by the individual loudspeakers of the listening system. The listening room characteristics recorded in this way are supplemented with data from the Head Related Transfer Function (HRTF) databases, which can be selected according to the listener's perception. The study compared the effects of an impulse response segmentation algorithm using publicly available HRTF averaging databases with the classic approach using individualized binaural room impulse responses (BRIR). Reference was also made to available binauralization algorithms using dummy head.
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