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http://dx.doi.org/10.7776/ASK.2017.36.5.338

Interpolation method of head-related transfer function based on the least squares method and an acoustic modeling with a small number of measurement points  

Lee, Seokjin (Department of Electronic Engineering, Kyoggi University)
Abstract
In this paper, an interpolation method of HRTF (Head-Related Transfer Function) is proposed for small-sized measurement data set, especially. The proposed algorithm is based on acoustic modeling of HRTFs, and the algorithm tries to interpolate the HRTFs via estimation the model coefficients. However, the estimation of the model coefficients is hard if there is lack of measurement points, so the algorithm solves the problem by a data augmentation using the VBAP (Vector Based Amplitude Panning). Therefore, the proposed algorithm consists of two steps, which are data augmentation step based on VBAP and model coefficients estimation step by least squares method. The proposed algorithm was evaluated by a simulation with a measured data from CIPIC (Center for Image Processing and Integrated Computing) HRTF database, and the simulation results show that the proposed algorithm reduces mean-squared error by 1.5 dB ~ 4 dB than the conventional algorithms.
Keywords
3D audio; Head-related transfer function; Binaural rendering; Vector-based amplitude panning;
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Times Cited By KSCI : 1  (Citation Analysis)
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