In this paper a novel method for the interpolation of Binaural Room Impulse Responses (BRIR) is presented. The algorithm is based on decomposition in time and frequency of the BRIRs combined with an elaborated peak searching and matching algorithm for the early reflections followed by interpolation. The algorithm has been tested with real room data, carrying out a perceptual subjective test. It outperforms, both in quality and in computational cost, the state-of-the-art algorithms.
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