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Quantization noise modeling in low-delay vector predictive speech coding

Andersen, Sören Vang LU ; Jensen, SH and Hansen, E (1997) 1st European Conference on Signal Analysis and Prediction (ECSAP-97) In SIGNAL ANALYSIS & PREDICTION I p.299-302
Abstract
We study quantization noise modeling in a low-delay vector predictive transform coder for speech signals. The coder uses a Kalman filter with a backward estimated LPC model of the speech signal combined with an additive noise model of the quantization noise. Computer simulations indicate that modeling of the quantization noise can improve the quality of the decoded speech signal. This is especially true when a cross-correlated quantization poise model is combined with signal smoothing.
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author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
SIGNAL ANALYSIS & PREDICTION I
pages
299 - 302
publisher
ICT PRESS
conference name
1st European Conference on Signal Analysis and Prediction (ECSAP-97)
external identifiers
  • WOS:000071360900062
language
English
LU publication?
no
id
402a8c10-814f-49d9-bf7a-50cc3148597e (old id 4092602)
date added to LUP
2013-10-17 10:54:07
date last changed
2016-06-29 09:17:36
@inproceedings{402a8c10-814f-49d9-bf7a-50cc3148597e,
  abstract     = {We study quantization noise modeling in a low-delay vector predictive transform coder for speech signals. The coder uses a Kalman filter with a backward estimated LPC model of the speech signal combined with an additive noise model of the quantization noise. Computer simulations indicate that modeling of the quantization noise can improve the quality of the decoded speech signal. This is especially true when a cross-correlated quantization poise model is combined with signal smoothing.},
  author       = {Andersen, Sören Vang and Jensen, SH and Hansen, E},
  booktitle    = {SIGNAL ANALYSIS & PREDICTION I},
  language     = {eng},
  pages        = {299--302},
  publisher    = {ICT PRESS},
  title        = {Quantization noise modeling in low-delay vector predictive speech coding},
  year         = {1997},
}