Bandwidth Extension has emerged as an important tool for the satisfactory performance of low bit rate audio and speech codecs. In this paper we describe the components of a novel integrated audio bandwidth extension toolkit (ABET). The ABET toolkit is a combination of two bandwidth extension tools: (i) The Fractal Self-Similarity Model (FSSM) for signal spectrum; and, (ii) Accurate Spectral Replacement (ASR). Combination of these two tools, which are applied directly to high frequency resolution representation of the signal such as the Modified Cosine Transform (MDCT), has several benefits for increased accuracy and efficiency of the high frequency signal components. At the same time the combination of the two tools entails a number of importation algorithmic and perceptual considerations. In this paper we describe the components of the ABET bandwidth extension toolkit in detail. Algorithmic details, audio demonstrations, and, comparison to other audio coding schemes will be presented. Additional information and audio samples will be available at http://www.atc-labs.com/abet/ .
Authors:
E.V., Harinarayanan; Ferreira, AnĂbal J. S.; Sinha, Deepen
Affiliations:
ATC Labs; University of Porto(See document for exact affiliation information.)
AES Convention:
120 (May 2006)
Paper Number:
6788
Publication Date:
May 1, 2006
Subject:
Low Bit-Rate Audio Coding
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.