Spatial audio coding (SAC) addresses the emerging need to e ciently represent high- delity multichannel audio. The SAC methods previously described involve analyzing the input audio for inter-channel relationships, encoding a downmix signal with these relationships as side information, and using the side data at the decoder for spatial rendering. These approaches are channel-centric in that they are generally designed to reproduce the input channel content over the same output channel con guration. In this paper, we propose a frequency-domain SAC framework based on the perceived spatial audio scene rather than on the channel content. We propose time-frequency spatial direction vectors as cues to describe the input audio scene, present an analysis method for robust estimation of these cues from arbitrary multichannel content, and discuss the use of the cues to achieve accurate spatial decoding and rendering for arbitrary output systems.
https://www.aes.org/e-lib/browse.cfm?elib=13555
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!
