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Hidden Markov model-based packet loss concealment for voice over IP

Rodbro, Christoffer A. ; Murthi, Manohar N. ; Andersen, Sören Vang LU and Jensen, Soren Holdt (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)
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author
publishing date
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
2020-01-22 02:56:07
@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},
  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},
}