Audio coding methods (both lossy and lossless) can benefit from prior knowledge of audio signal statistics, which can exploit time domain stationarities. An extensive study is presented applying numerous criteria (e.g., energy, entropy, tonality, and likelihood) to successive frames of audio data. The statistics of these criteria variations are presented and classified, together with an assessment of their respective performance.
https://www.aes.org/e-lib/browse.cfm?elib=7519
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!