Author(s)
Term
4. Term
Education
Publication year
2018
Submitted on
2018-11-10
Pages
84 pages
Abstract
This thesis suggests a small set of essential parameters for a personalised and effective dynamic binaural synthesis with headphones. An imageguided procedure with two 2D images of the head guides the personalisation of head-related transfer function (HRTF), combining a spherical head model with ear displacement with the HRTF magnitude selected from a database according to anthropometry. Room acoustics phenomena are simplified following the scattering delay network (SDN) approach which allows an accurate spatialisation of first order reflections. The proposed model is compared to the common higher-order ambisonics (HOA) rendering. Improvements in localisation and externalisation performances within a virtual reality listening experiment attest the benefits of HRTF personalisation compared to the use of generic HRTFs, and indicates the success of the proposed customised SDN model once compared to HOA.
Keywords
Documents
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