Quantization noise modeling in low-delay vector predictive speech coding

Sören Vang Andersen; SH Jensen; E Hansen

Quantization noise modeling in low-delay vector predictive speech coding

Sören Vang Andersen, SH Jensen, E Hansen

External Organization - Unknown

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	SIGNAL ANALYSIS & PREDICTION I
Publisher	ICT PRESS
Pages	299-302
Publication status	Published - 1997
Externally published	Yes
Event	1st European Conference on Signal Analysis and Prediction (ECSAP-97) - PRAGUE, CZECH REPUBLIC Duration: 1997 Jun 24 → 1997 Jun 27

Conference

Conference	1st European Conference on Signal Analysis and Prediction (ECSAP-97)
Period	1997/06/24 → 1997/06/27

Subject classification (UKÄ)

Mathematics

Cite this

@inproceedings{402a8c10814f49d9bf7a50cc3148597e,

title = "Quantization noise modeling in low-delay vector predictive speech coding",

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, {S{\"o}ren Vang} and SH Jensen and E Hansen",

year = "1997",

language = "English",

pages = "299--302",

booktitle = "SIGNAL ANALYSIS & PREDICTION I",

publisher = "ICT PRESS",

note = "1st European Conference on Signal Analysis and Prediction (ECSAP-97) ; Conference date: 24-06-1997 Through 27-06-1997",

}

TY - GEN

T1 - Quantization noise modeling in low-delay vector predictive speech coding

AU - Andersen, Sören Vang

AU - Jensen, SH

AU - Hansen, E

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

M3 - Paper in conference proceeding

SP - 299

EP - 302

BT - SIGNAL ANALYSIS & PREDICTION I

PB - ICT PRESS

T2 - 1st European Conference on Signal Analysis and Prediction (ECSAP-97)

Y2 - 24 June 1997 through 27 June 1997

ER -

Quantization noise modeling in low-delay vector predictive speech coding

Abstract

Conference

Subject classification (UKÄ)

Fingerprint

Cite this