Recently the development of multimedia applications requires a flexible method to represent spatial sound, and higher order ambisonics (HOA) draws more and more attention due to its flexibility between the recording and playback end. To reduce the cost for storage and transmission, some compression methods were developed. However, they result in discontinuity between frames. Here we propose a framework in which independent component analysis (ICA) is used to extract foreground components from HOA signal. We achieve smooth transition by utilizing un-mixing matrices from previous frames. A complete compression system was constructed and a dataset with simulated and recorded signals was built. Subjective experiments provided evidence for the effectiveness of proposed method.
https://www.aes.org/e-lib/browse.cfm?elib=21049
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!
