The development of advanced low bit-rate digital audio compression algorithms has led to audio processing methods which exploit the psychophysical sensitivities of human hearing. Systematic test and measurement methods are required in order to establish physical performance measures of psychophysically-based low bit-rate coders. New measurement techniques can incorporate a psychophysical model in the measurement process. Two measurements have been performed on a new audio coding algorithm which utilizes a tree structured signal decomposition. The worst case signal-to-mask ratio and the bit-rate demand histogram are two useful performance methods for psychophysically-based digital audio coding systems.
https://www.aes.org/e-lib/browse.cfm?elib=6273
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!
