DocumentCode
3082345
Title
Vector quantizationwith renormalized splits for wideband speech
Author
Ramírez, Miguel Arjona
Author_Institution
Dept. of Electron. Syst. Eng., Univ. of Sao Paulo, São Paulo, Brazil
fYear
2011
fDate
6-8 July 2011
Firstpage
1
Lastpage
4
Abstract
A method is proposed for split vector quantization (SVQ) that, while keeping up with the lower search complexity inherent to SVQ, reduces the attendant split loss. It operates partially in the training and encoding phases by normalizing the bandwidth covered by each split. The action is completed in the decoding phase by renormalizing the bandwidth spanned by each split of the codebook to that allowed by a nonoverlapping constraint with neighboring split bands. Therefore, the method is referred to as renormalized SPV (RSVQ). The performance of RSVQ is investigated in comparison to standard SVQ for coding line spectral frequency (LSF) vectors that parameterize the spectral envelope of wideband speech and it is found to save four bits, reaching transparent coding at 42 bit/frame.
Keywords
decoding; search problems; spectral analysis; speech processing; vector quantisation; vectors; LSF vectors; RSVQ; attendant split loss; coding line spectral frequency vectors; decoding phase; encoding phase; neighboring split bands; nonoverlapping constraint; renormalized SPV; renormalized splits; renormalizing; search complexity; spectral envelope; split vector quantization; training phase; transparent coding; wideband speech; Distortion measurement; Speech; Speech coding; Training; Vector quantization; Wideband; line spectral frequencies; speech analysis; speech coding; split vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing (DSP), 2011 17th International Conference on
Conference_Location
Corfu
ISSN
Pending
Print_ISBN
978-1-4577-0273-0
Type
conf
DOI
10.1109/ICDSP.2011.6004911
Filename
6004911
Link To Document