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A Cluster and Subjective Selection-Based HRTF Customization Scheme for Improving Binaural Reproduction of 5.1 Channel Surround Sound

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This work proposes a cluster and subjective selection-based HRTF customization scheme for improving binaural reproduction of 5.1 channel surround sound. Based on similarity of HRTFs from an HRTF database with 52 subjects, a cluster analysis on HRTF magnitudes is applied. Results indicate that HRTFs of most subjects can be classified into seven clusters and represented by the corresponding cluster centers. Subsequently, HRTFs used in binaural 5.1 channel reproduction are customized from the seven cluster centers by means of subjective selection, i.e., a subjective selection-based customization scheme. Psychoacoustic experiments indicate that the proposed scheme partly improves the localization performance in the binaural 5.1 channel surround sound.

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