Packet loss concealment for MDCT-based audio codec using correlation-based side information

Akinori Ito, Kiyoshi Konno, Shozo Makino, Motoyuki Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper we investigate several methods to estimate the signal in the lost packet of MP3 audio using side information. Our methods are based on a packet loss concealment method using sign correction proposed by Suzuki et al. Suzuki's method uses sign of lower MDCT coefficients as redundant information, and the sign information is used when estimating the MDCT coefficients of the lost packet. In this paper, we propose a new method to use the same side information as Suzuki's method. Our method is a combination of one-bit quantization and sign correction, which is proved to be better than sign correction for improving correlation between the original signal and the restored signal. The experimental result shows that the proposed method outperforms the sign correction method. Next, we investigated several methods to use two bits for correcting one coefficient. From the experimental results, the combination of two-bit correction and one-bit correction gave the best result.

Original languageEnglish
Title of host publicationProceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
Pages612-615
Number of pages4
DOIs
Publication statusPublished - 2008 Oct 22
Event2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008 - Harbin, China
Duration: 2008 Aug 152008 Aug 17

Publication series

NameProceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008

Other

Other2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008
CountryChina
CityHarbin
Period08/8/1508/8/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Signal Processing

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