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Individual Customization Of Virtual Sound Based On Subjective Tuning

Posted on:2018-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:C C PengFull Text:PDF
GTID:2310330536477794Subject:Acoustics
Abstract/Summary:
The transfer function of sound wave from a sound source to the left and right ear in the free field is called Head related transfer function(HRTF).HRTF plays a key role in virtual auditory display(VAD),and VAD systems of high quality mainly rely on individualized HRTFs.However,it is impractical to obtain HRTF from acoustical measurement and numerical calculation in application,therefore an efficient method of obtaining individual HRTFs approximately,which is called as HRTF customization,is necessary.This work investigates an individual customization method of virtual sound through subjective tuning based on four individual HRTF databases.Firstly,HRTF databases are resampled,spatial interpolated and diffusion field equalized for combination;secondly,principal component analysis(PCA)is applied for HRTF compression and extraction of inter-subject differences and inter-elevation differences(weights),while the spatial distribution of intersubject differences is analyzed;thirdly,select 4 and 13 weights to customize individual HRTFs in 9 target elevations respectively,and self-tuning of HRTFs is conducted on the MATLAB GUI interface through virtual sound localization;finally,the effectiveness of the customized HRTF is systematically analyzed through subjective sound localization testing,which is designed to evaluate the localization performance.In this paper,the general inter-elevation differences(common basis functions)are extracted from a multi-sample combined HRTF database;the combined HRTF database is decomposed and reduced dimensions by PCA,and the spatial distribution of inter-subject differences is analyzed;moreover,a GUI interface is designed for subjective tuning,which make it possible to customize individual HRTF.
Keywords/Search Tags:Virtual Auditory Display, Head Related Transfer Function, Individual Customization, Subjective Tuning
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