Paper: | SS-11.2 | ||
Session: | Lossless Coding Techniques for Audio Signals | ||
Time: | Friday, May 21, 13:20 - 13:40 | ||
Presentation: | Special Session Lecture | ||
Topic: | Special Sessions: Lossless Coding Technologies for Audio Signals | ||
Title: | EXTENDED LINEAR PREDICTION TOOLS FOR LOSSLESS AUDIO CODING | ||
Authors: | Takehiro Moriya; NTT | ||
Dai Yang; University of Southern California | |||
Tilman Liebchen; Technical University of Berlin | |||
Abstract: | Two extension tools for enhancing the compression performance of prediction-based lossless audio coding are proposed. One is progressive-order prediction of the starting samples at the random access points, where the information of previous samples is not available. The first sample is coded as is, the second is predicted by first-order prediction, the third is predicted by second-order prediction, and so on. This can be efficiently carried out with PARCOR (PARtial autoCORrelation) coefficients. The second tool is inter-channel joint coding. Both predictive coefficients and prediction error signals are efficiently coded by inter-channel differential or three-tap adaptive prediction. These new prediction tools lead to a steady reduction in bit rate when random access is activated and the inter-channel correlation is strong. | ||
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