In this paper, an algorithmic approach towards computing quantifiable metrics regarding HRTF spectral magnitude synthesis performance of virtual sound systems, such as those used in VR/AR/MR environments, is presented. Utilizing regularized regression in parallel with a statistical information theory technique, the system provides a detailed analysis of a virtual spatializer’s spectral magnitude rendering accuracy at a given point in space. Applying the proposed system to the final signal processing stage of a spatial audio rendering pipeline enables the engineer to establish critical performance quantities for benchmarking future modifications to the rendering channel against. The proposed system demonstrates an important step towards standardizing and automating virtual audio system evaluation and may ultimately act as a participant substitute during critical listening tasks.
(See document for exact affiliation information.)
https://aes2.org/publications/elibrary-page/?id=20869
(1579KB)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
