Quantization noise modeling in low-delay speech coding
(1997) 1997 IEEE Workshop on Speech Coding for Telecommunications - 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:
https://lup.lub.lu.se/record/4092606
- author
- Andersen, Sören Vang LU ; Jensen, SH and Hansen, E
- publishing date
- 1997
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 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
- conference dates
- 1997-09-07 - 1997-09-10
- 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
- 2016-04-04 11:39:34
- date last changed
- 2022-03-15 23:36:41
@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}}, doi = {{10.1109/SCFT.1997.623898}}, year = {{1997}}, }