@inproceedings{a5c39be588cb4f88a36de6e87a264e1f,
title = "Packet loss concealment with natural variations using HMM",
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, {S{\"o}ren Vang} and Jensen, {Soren Holdt}",
year = "2006",
language = "English",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "21--24",
booktitle = "2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13",
address = "United States",
note = "IEEE International Conference on Acoustics, Speech, and Signal Processing, 2006, ICASSP 2006 ; Conference date: 14-05-2006 Through 19-05-2006",
}