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Quantization noise modeling in low-delay speech coding

Andersen, Sören Vang LU ; Jensen, SH and Hansen, E (1997) 1997 IEEE Workshop on Speech Coding for Telecommunications - Back to Basics: Attacking Fundamental Problems in Speech Coding In 1997 IEEE WORKSHOP ON SPEECH CODING FOR TELECOMMUNICATIONS, PROCEEDINGS: BACK TO BASICS: ATTACKING FUNDAMENTAL PROBLEMS IN SPEECH CODING p.65-66
Abstract
We present a low-delay vector predictive transform coder with quantization noise modeling. The coder uses overlapped transform coding and a Kalman filter with a backward estimated LPC model of the speech signal combined with an additive noise model of the quantization noise. The noise model is driven by the vector quantizer. Each quantizer cell has its own error correlation matrix, which is kept in a table and addressed using the quantizer index. Simulation results indicate that overlapped transform coding combined with noise modeling can improve the quality of the decoded speech signal.
Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
1997 IEEE WORKSHOP ON SPEECH CODING FOR TELECOMMUNICATIONS, PROCEEDINGS: BACK TO BASICS: ATTACKING FUNDAMENTAL PROBLEMS IN SPEECH CODING
pages
65 - 66
publisher
I E E E
conference name
1997 IEEE Workshop on Speech Coding for Telecommunications - Back to Basics: Attacking Fundamental Problems in Speech Coding
external identifiers
  • WOS:A1997BJ80C00033
  • Scopus:0031344660
DOI
10.1109/SCFT.1997.623898
language
English
LU publication?
no
id
b66ca3c6-14ad-4a32-beb7-535f5571236b (old id 4092606)
date added to LUP
2013-10-17 10:54:39
date last changed
2017-01-01 08:04:30
@inproceedings{b66ca3c6-14ad-4a32-beb7-535f5571236b,
  abstract     = {We present a low-delay vector predictive transform coder with quantization noise modeling. The coder uses overlapped transform coding and a Kalman filter with a backward estimated LPC model of the speech signal combined with an additive noise model of the quantization noise. The noise model is driven by the vector quantizer. Each quantizer cell has its own error correlation matrix, which is kept in a table and addressed using the quantizer index. Simulation results indicate that overlapped transform coding combined with noise modeling can improve the quality of the decoded speech signal.},
  author       = {Andersen, Sören Vang and Jensen, SH and Hansen, E},
  booktitle    = {1997 IEEE WORKSHOP ON SPEECH CODING FOR TELECOMMUNICATIONS, PROCEEDINGS: BACK TO BASICS: ATTACKING FUNDAMENTAL PROBLEMS IN SPEECH CODING},
  language     = {eng},
  pages        = {65--66},
  publisher    = {I E E E},
  title        = {Quantization noise modeling in low-delay speech coding},
  url          = {http://dx.doi.org/10.1109/SCFT.1997.623898},
  year         = {1997},
}