Packet loss concealment with natural variations using HMM

Manohar N. Murthi, Christoffer A. Rodbro, Sören Vang Andersen, Soren Holdt Jensen

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review


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.
Original languageEnglish
Title of host publication2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication statusPublished - 2006
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech, and Signal Processing, 2006 - Toulouse, FRANCE, Toulouse , France
Duration: 2006 May 142006 May 19

Publication series

ISSN (Print)1520-6149


ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing, 2006
Abbreviated titleICASSP 2006

Subject classification (UKÄ)

  • Mathematics


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