Kalman filter based packet loss replacement in presence of additive noise

A major problem in real-time packet-based communication systems, is misrouted or delayed packets which results in degraded perceived voice quality. If packets are not available on time, the packets are considered as lost. The easiest solution in a network terminal receiver is to replace silence for...

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Bibliographic Details
Published in2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) pp. 1 - 4
Main Authors Miralavi, S. R., Ghorshi, S., Tahaei, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2012
Subjects
Bandwidth
Bandwidth Extension
Kalman filter
Kalman filters
Low Order Linear Prediction
Mathematical model
Packet Loss
Prediction algorithms
Speech
VoIP
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ISBN1467314315
9781467314312
ISSN0840-7789
DOI10.1109/CCECE.2012.6334829

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Summary:A major problem in real-time packet-based communication systems, is misrouted or delayed packets which results in degraded perceived voice quality. If packets are not available on time, the packets are considered as lost. The easiest solution in a network terminal receiver is to replace silence for the duration of lost speech segments. In a high quality communication system, to avoid degradation in speech quality due to packet loss, a suitable method or algorithm is needed to replace the missing segments of speech. In this paper, we introduce an adaptive filter for replacement of lost speech segment. In this method Kalman filter as a state-space based method will be used to predict the speech signal and a bandwidth extension algorithm is also used as a post processing technique to increase the quality of reconstructed signal.
ISBN:1467314315
9781467314312
ISSN:0840-7789
DOI:10.1109/CCECE.2012.6334829