Deployment of models of HRIRs using PCA in digital signal processing board

Abstract

Three-dimensional sound effect has been around us when we are playing video games and watching movies in theatres. This happens because many researches have been developed to deploy head-related impulse responses (HRIRs) for 3-D sound reproduction. In reproducing 3-D sound, monaural sound is convolved with a pair of HRIRs. In this research, PKU-IOA HRTF Database has been used. An original HRIR consists of 1024 samples with 65,536 Hz sampling rates. Pre-processing is performed on the HRIRs, so that we obtain five data types including the original ones, i.e. original HRIRs (type 1); original HRIRs chopped to first 512 samples (type 2); and 349 samples (type 3); HRIRs with 256 samples and 48 kHz sampling rate (type 4) that originating from original HRIRs with 349 samples that are down-sampled to 48 kHz; and the last data type is minimum phase HRIRs with first 200 samples that are reconstructed from original HRIRs (type 5). Each data type is then modelled using principal components analysis (PCA). The averages of percentage errors are respectively 24.259%, 24.244%, 24.242%, 21.080%, and 5.422% for type 1 to type 5. The best-resulted model is minimum phase HRIRs (type 5); these HRIRs are then reconstructed and deployed in Digital Signal Processor (DSP) Board TMS320C5535 to reproduce 3-D sound from monaural one.