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 :
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