Perceptual norm adjustment with segmental weighted SMR for ITU-T G.719 audio codec

Jing Wang*, Ning Ning, Xuan Ji, Jingming Kuang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper proposes an improved perceptual norm adjustment algorithm for ITU-T G.719, in which norm adjustment is based on segmental weighted Signal-to-Mask Ratio (SMR). This algorithm uses SMR to detect the location of harmonics, then weights SMR with the segmental spectral energy. SMR is computed from the reconstructed quantized MDCT coefficients. Finally the algorithm guides bit allocation with the adjusted norm and enhances psychoacoustic masking effect in bit allocation. Results of informal subjective listening tests show that the proposed method can improve the performance of G.719 slightly at low bit rates by using perceptual norm adjustment with segmental SMR.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Multimedia and Signal Processing, CMSP 2011
Pages282-285
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Multimedia and Signal Processing, CMSP 2011 - Guilin, Guangxi, China
Duration: 14 May 201115 May 2011

Publication series

NameProceedings - 2011 International Conference on Multimedia and Signal Processing, CMSP 2011
Volume2

Conference

Conference2011 International Conference on Multimedia and Signal Processing, CMSP 2011
Country/TerritoryChina
CityGuilin, Guangxi
Period14/05/1115/05/11

Keywords

  • ITU-T G.719
  • Norm adjustment
  • Psychoacoustic
  • Signal-to-mask ratio(SMR)

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