Linked split-vector quantizer of LPC parameters

Kim, Moo Young; Ha, Nam Kyu; Kim, Sang Ryong

doi:10.1109/icassp.1996.543227

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings

DOI: 10.1109/icassp.1996.543227

|View full text |Cite

Linked split-vector quantizer of LPC parameters

Moo Young Kim

Nam Kyu Ha²,

Sang Ryong Kim³

Abstract: In speech coding area, several vector quantization (VQ) methods for the LPC (linear predictive coding) parameters have been developed. Because LPC parameters are too dynamic to quantize directly, the LSFs (line spectrum frequencies) are used instead. In this study, we propose the linked split-vector quantizer (LSVQ) where the lower and the upper codebook are selected according to the preselected middle codevector. Using the ordering property of LSFs, LSVQ links three codebooks for the efficient use of the code… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Publication Types

Select...

Other5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 9 publications

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

In this paper we investigate split quantization of the LSF source from an information theoretic perspective. It is a well known fact that split quantization is inferior to unconstrained quantization, due to the independent treatment of sub vectors. Here, we quantify lower bounds for the split loss, and suggest conditional quantization of splits as a method to reduce the losses. The investigation is based on information theoretic estimates of performance, rather than on the performance of actual quantization schemes.Simulations for a 10-dimensional LSF source point at a loss of around 8 bits if scalar quantization is performed, and a loss of approximately 2 bits for a 2-split quantization, both compared to 10 dimensional vector quantization. Furthermore, the results suggest that these losses can be considerably reduced using conditional quantization, down to as low as 0 to 2 bits.

show abstract

Sequential Split Vector Quantization of LSF Parameters using Conditional Pdf

Chatterjee

Sreenivas

2007

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07

View full text Add to dashboard Cite

A better performing product code vector quantization (VQ) method is proposed for coding the line spectrum frequency (LSF) parameters; the method is referred to as sequential split vector quantization (SeSVQ). The split sub-vectors of the full LSF vector are quantized in sequence and thus uses conditional distribution derived from the previous quantized sub-vectors. Unlike the traditional split vector quantization (SVQ) method, SeSVQ exploits the inter sub-vector correlation and thus provides improved rate-distortion performance, but at the expense of higher memory.We investigate the quantization performance of SeSVQ over traditional SVQ and transform domain split VQ (TrSVQ) methods. Compared to SVQ, SeSVQ saves 1 bit and nearly 3 bits, for telephoneband and wide-band speech coding applications respectively.Index Terms-LSF quantization, split vector quantization

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Linked split-vector quantizer of LPC parameters

Cited by 9 publications

References 5 publications

High quality split band LPC vocoder operating at low bit rates

High quality split band LPC vocoder operating at low bit rates

On split quantization of LSF parameters

Sequential Split Vector Quantization of LSF Parameters using Conditional Pdf

Contact Info

Product

Resources

About