Loading...

Kalman filter based packet loss replacement in presence of additive noise

Miralavi, S. R | 2012

728 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/CCECE.2012.6334829
  3. Publisher: 2012
  4. Abstract:
  5. 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
  6. Keywords:
  7. Kalman filter ; Low Order Linear Prediction ; Bandwidth extension ; High quality ; Linear prediction ; Network terminals ; Packet-based communication ; Post-processing techniques ; Speech quality ; Speech segments ; Speech signals ; State-space ; Voice quality ; VoIP ; Adaptive filters ; Algorithms ; Bandwidth ; Communication systems ; Computer vision ; Internet telephony ; Packet loss ; Speech analysis ; Kalman filters
  8. Source: 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering: Vision for a Greener Future, CCECE 2012 ; 2012 ; 9781467314336 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6334829