The interpolation of binaural room impulse responses (BRIRs) is a very common technique in the field of immersive audio rendering because it aims at reducing the responses measurements guaranteeing a correct sound spatialization. These approaches are usually based on the interpolation of the responses starting from the division in early reflections and reverberant tail considering a fixed arbitrary mixing time. However, this aspect could influence the interpolation methodology when real BRIRs are considered. In this paper, a state-of-the-art interpolation algorithm is improved adding an automatic procedure for the calculation of the exact mixing time and applied it to a set of BRIRs, measured in a real reverberant environment. Several experiments have proved the effectiveness of the proposed approach.

An Improved Approach for Binaural Room Impulse Responses Interpolation in Real Environments / Bruschi, V.; Nobili, S.; Terenzi, A.; Cecchi, S.. - (2022), pp. 441-450. (Intervento presentato al convegno AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022 tenutosi a nld nel 2022).

An Improved Approach for Binaural Room Impulse Responses Interpolation in Real Environments

Bruschi V.;Nobili S.;Terenzi A.;Cecchi S.
2022-01-01

Abstract

The interpolation of binaural room impulse responses (BRIRs) is a very common technique in the field of immersive audio rendering because it aims at reducing the responses measurements guaranteeing a correct sound spatialization. These approaches are usually based on the interpolation of the responses starting from the division in early reflections and reverberant tail considering a fixed arbitrary mixing time. However, this aspect could influence the interpolation methodology when real BRIRs are considered. In this paper, a state-of-the-art interpolation algorithm is improved adding an automatic procedure for the calculation of the exact mixing time and applied it to a set of BRIRs, measured in a real reverberant environment. Several experiments have proved the effectiveness of the proposed approach.
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/305940
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