Parametric modeling permits an efficient representation of audio signals and is utilized for very low bit-rate coding in the MPEG-4 Standard. The paper examines the MPEG-4 parametric audio coding tools, Harmonic and Individual Lines plus Noise (HILN), which are based on a decomposition of the audio signal into components that are described by appropriate source models and represented by model parameters. Until now, HILN encoding mainly focused on maximum audio quality at the expense of high-computational complexity. In this paper different approaches to speed up HILN encoding are presented and the tradeoff between computational complexity and audio quality is analyzed.:
(See document for exact affiliation information.)
https://aes2.org/publications/elibrary-page/?id=9161
(306KB)
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 Join the AES. If you need to check your member status, login to the Member Portal.
