Packet loss concealment with natural variations using HMM
(2006) IEEE International Conference on Acoustics, Speech, and Signal Processing, 2006 p.21-24- Abstract
- Packet loss concealment (PLC) at a receiver has a substantial effect on the speech quality in Voice over IP. Most conventional PLC systems have largely relied upon variations of signal repetition and overlap-add interpolation which can produce speech signals that do not follow the larger overall statistical trends. In this paper, we demonstrate how Hidden Markov Models can be utilized to effect PLC based on statistical signal processing. In particular, we show how HMM-based PLC yields conditional density functions that can be utilized by various statistical estimation methods that produce signal parameter estimates that produce more natural variation than conventional PLC methods, thereby providing much better speech quality.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4092521
- author
- Murthi, Manohar N. ; Rodbro, Christoffer A. ; Andersen, Sören Vang LU and Jensen, Soren Holdt
- publishing date
- 2006
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13
- pages
- 21 - 24
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE International Conference on Acoustics, Speech, and Signal Processing, 2006
- conference location
- Toulouse, France
- conference dates
- 2006-05-14 - 2006-05-19
- external identifiers
-
- wos:000245559900006
- scopus:33947664563
- ISSN
- 1520-6149
- language
- English
- LU publication?
- no
- id
- a5c39be5-88cb-4f88-a36d-e6e87a264e1f (old id 4092521)
- date added to LUP
- 2016-04-01 17:14:25
- date last changed
- 2022-04-23 03:41:41
@inproceedings{a5c39be5-88cb-4f88-a36d-e6e87a264e1f, abstract = {{Packet loss concealment (PLC) at a receiver has a substantial effect on the speech quality in Voice over IP. Most conventional PLC systems have largely relied upon variations of signal repetition and overlap-add interpolation which can produce speech signals that do not follow the larger overall statistical trends. In this paper, we demonstrate how Hidden Markov Models can be utilized to effect PLC based on statistical signal processing. In particular, we show how HMM-based PLC yields conditional density functions that can be utilized by various statistical estimation methods that produce signal parameter estimates that produce more natural variation than conventional PLC methods, thereby providing much better speech quality.}}, author = {{Murthi, Manohar N. and Rodbro, Christoffer A. and Andersen, Sören Vang and Jensen, Soren Holdt}}, booktitle = {{2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13}}, issn = {{1520-6149}}, language = {{eng}}, pages = {{21--24}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Packet loss concealment with natural variations using HMM}}, year = {{2006}}, }