Title
Adaptive Spectral Masking Of Avq Coding And Sparseness Detection For Itu-T G.711.1 Annex D And G.722 Annex B Standards
Abstract
We proposes a new adaptive spectral masking method of algebraic vector quantization (AVQ) for non-sparse signals in the modified discreet cosine transform (MDCT) domain. This paper also proposes switching the adaptive spectral masking on and off depending on whether or not the target signal is non-sparse. The switching decision is based on the results of MDCT-domain sparseness analysis. When the target signal is categorized as non-sparse, the masking level of the target MDCT coefficients is adaptively controlled using spectral envelope information. The performance of the proposed method, as a part of ITU-T G.711.1 Annex D, is evaluated in comparison with conventional AVQ. Subjective listening test results showed that the proposed method improves sound quality by more than 0.1 points on a five-point scale on average for speech, music, and mixed content, which indicates significant improvement.
Year
DOI
Venue
2014
10.1587/transinf.E97.D.1264
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Keywords
Field
DocType
speech and audio coding, standardization, ITU-T G.711.1 Annex D, ITU-T G.722 Annex B, super-wideband (SWB) extension, algebraic vector quantization (AVQ)
Pattern recognition,Masking (art),Computer science,Speech recognition,Coding (social sciences),G.722,Artificial intelligence,Standardization
Journal
Volume
Issue
ISSN
E97D
5
1745-1361
Citations 
PageRank 
References 
0
0.34
3
Authors
7
Name
Order
Citations
PageRank
Masahiro Fukui14214.57
Shigeaki Sasaki2112.54
Yusuke Hiwasaki35211.63
Kimitaka Tsutsumi411.45
Sachiko Kurihara5153.38
Hitoshi Ohmuro65611.11
Yoichi Haneda79720.16