Several computationally efficient multisource spatialization methods for headphone reproduction are reviewed. They rely on the linear decomposition of head-related transfer functions (HRTFs) into spatial functions and reconstruction filters. Decomposition methods based on statistical analysis, eigen-value decomposition, and projection techniques are presented. Specifically methods yielding nonindividualized, discrete spatial functions-while minimizing the reconstruction error-are investigated.:
https://www.aes.org/e-lib/browse.cfm?elib=9241
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 and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.
Learn more about the AES E-Library
Start a discussion about this paper!