Audio Coding using a Genetic Algorithm
Currently MPEG 1 Layer II encoders incorporate a feedforward technique where a psychoacoustic model derived from the input signal drives the bit allocation. This paper describes a novel approach where a psychoacoustic metric compares the output signal with the input signal to drive the bit allocation, and uses a genetic algorithm in the feedback process. The audio quality is compared with that of leading conventional audio coders. The aim of the work was to assess how far Layer II coding can be improved, and whether any further progress can be made with conventional coding.
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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.