Hidden Markov model-based packet loss concealment for voice over IP
(2006) In IEEE Transactions on Audio, Speech, and Language Processing 14(5). p.1609-1623- Abstract
- As voice over IP proliferates, packet loss concealment (PLC) at the receiver has emerged as an important factor in determining voice quality of service. Through the use of heuristic variations of signal and parameter repetition and overlap-add interpolation to handle packet loss, conventional PLC systems largely ignore the dynamics of the statistical evolution of the speech signal, possibly leading to perceptually annoying artifacts. To address this problem, we propose the use of hidden Markov models for PLC. With a hidden Markov model (HMM) tracking the evolution of speech signal parameters, we demonstrate how PLC, is performed within a statistical signal processing framework. Moreover, we show how the HMM is used to index a specially... (More)
- As voice over IP proliferates, packet loss concealment (PLC) at the receiver has emerged as an important factor in determining voice quality of service. Through the use of heuristic variations of signal and parameter repetition and overlap-add interpolation to handle packet loss, conventional PLC systems largely ignore the dynamics of the statistical evolution of the speech signal, possibly leading to perceptually annoying artifacts. To address this problem, we propose the use of hidden Markov models for PLC. With a hidden Markov model (HMM) tracking the evolution of speech signal parameters, we demonstrate how PLC, is performed within a statistical signal processing framework. Moreover, we show how the HMM is used to index a specially designed PLC module for the particular signal context, leading to signal-contingent PLC. Simulation examples, objective tests, and subjective listening tests are provided showing the ability of an HMM-based PLC built with a sinusoidal analysis/synthesis model to provide better loss concealment than a conventional PLC based on the same sinusoidal model for all types of speech signals, including onsets and signal transitions. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4092510
- author
- Rodbro, Christoffer A. ; Murthi, Manohar N. ; Andersen, Sören Vang LU and Jensen, Soren Holdt
- publishing date
- 2006
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Hidden Markov models (HMMs), internet telephony, packet loss, packet, loss concealment, packet switching, speech coding, speech communication, voice over IP
- in
- IEEE Transactions on Audio, Speech, and Language Processing
- volume
- 14
- issue
- 5
- pages
- 1609 - 1623
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- wos:000240045200013
- scopus:33744969796
- ISSN
- 1558-7924
- DOI
- 10.1109/TSA.2005.858561
- language
- English
- LU publication?
- no
- id
- b215cbc7-c74a-4809-9b10-a633a92e6768 (old id 4092510)
- date added to LUP
- 2016-04-01 12:37:30
- date last changed
- 2022-03-06 02:05:45
@article{b215cbc7-c74a-4809-9b10-a633a92e6768,
abstract = {{As voice over IP proliferates, packet loss concealment (PLC) at the receiver has emerged as an important factor in determining voice quality of service. Through the use of heuristic variations of signal and parameter repetition and overlap-add interpolation to handle packet loss, conventional PLC systems largely ignore the dynamics of the statistical evolution of the speech signal, possibly leading to perceptually annoying artifacts. To address this problem, we propose the use of hidden Markov models for PLC. With a hidden Markov model (HMM) tracking the evolution of speech signal parameters, we demonstrate how PLC, is performed within a statistical signal processing framework. Moreover, we show how the HMM is used to index a specially designed PLC module for the particular signal context, leading to signal-contingent PLC. Simulation examples, objective tests, and subjective listening tests are provided showing the ability of an HMM-based PLC built with a sinusoidal analysis/synthesis model to provide better loss concealment than a conventional PLC based on the same sinusoidal model for all types of speech signals, including onsets and signal transitions.}},
author = {{Rodbro, Christoffer A. and Murthi, Manohar N. and Andersen, Sören Vang and Jensen, Soren Holdt}},
issn = {{1558-7924}},
keywords = {{Hidden Markov models (HMMs); internet telephony; packet loss; packet; loss concealment; packet switching; speech coding; speech communication; voice over IP}},
language = {{eng}},
number = {{5}},
pages = {{1609--1623}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Audio, Speech, and Language Processing}},
title = {{Hidden Markov model-based packet loss concealment for voice over IP}},
url = {{http://dx.doi.org/10.1109/TSA.2005.858561}},
doi = {{10.1109/TSA.2005.858561}},
volume = {{14}},
year = {{2006}},
}