Multi-Pulse Adaptive Sub-band Coding (MASC) Using Psychoacoustic Optimization Algorithm
MASC is a data compression algorithm that combines the application of multi-pulse excited linear predictive coding and sub-band coding. This paper first examines the perceptual advantage between the number of excitation pulses allocated versus the number of sub-bands required. An adaptive perceptual error weighting filter is also investigated to psychoacoustically motivate the pulse locations. Based upon the F-weighting function, it adapts according to the audio signals in each frame, thus coding information which matches the human hearing characteristic.
Click to purchase paper 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, $5 for AES members and is free for E-Library subscribers.