A novel dimension conversion for the quantization of SEW in wideband W1 speech coding

KJ Byun*, Ik Soo Eo, Hee Bum Jeong, Minsoo Hahn

*Corresponding author for this work

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

Abstract

The waveform interpolation is one of the speech coding algorithms with high quality at low bit rates. In the WI coding, the vector quantization of SEW requires a variable dimension quantization technique since the dimension of the SEW amplitude spectrum varies depending on the pitch period. However, since the variable dimension vector makes a difficulty to employ conventional vector quantization techniques directly, some dimension conversion techniques are usually utilized for the quantization of the variable dimension vectors. In this paper, we propose a new dimension conversion method for the SEW quantization in order to reduce the cost of codebook storage space with a small conversion error in the wideband WI speech coding. This dimension conversion method would be more useful for the wideband speech because wideband speech requires larger codebook memory for the variable dimension vector quantization compared to narrowband speech.

Original languageEnglish
Title of host publicationAdvances in intelligent computing
Subtitle of host publicationpt 1, proceedings
EditorsDS Huang, XP Zhang, GB Huang
Place of PublicationBerlin,Germany
PublisherSpringer, Springer Nature
Pages184-193
Number of pages10
ISBN (Print)3-540-28226-2
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventInternational Conference on Intelligent Computing - Hefei
Duration: 23 Aug 200526 Aug 2005

Publication series

NameLECTURE NOTES IN COMPUTER SCIENCE
PublisherSPRINGER-VERLAG BERLIN
Volume3644
ISSN (Print)0302-9743

Conference

ConferenceInternational Conference on Intelligent Computing
CityHefei
Period23/08/0526/08/05

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