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Packet loss replacement in VoIP using a low-order recursive linear prediction method

Miralavi, S. R ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. DOI: 10.1109/CCECE.2011.6030457
  3. Publisher: 2011
  4. Abstract:
  5. In real-time packet-based communication systems, one major problem is misrouted or delayed packets which results in degraded perceived voice quality. If packets are not available on time, the packet is known as lost packet. The easiest task of a network terminal receiver is to replace silence for the duration of lost speech segments. In a high quality communication system, to avoid quality reduction due to packet loss, a suitable method and/or algorithm is needed to replace the missing segments of speech. In this paper, we introduce a low order recursive linear prediction method for replacement of lost speech segment. In this method a normalized least mean square (NLMS) as an adaptive filter will be used to predict the excitation signal. The evaluation results show that this method has a lower mean square error (MSE) and higher signal to noise ratio (SNR) compared to the other methods
  6. Keywords:
  7. Low Order Linear Prediction ; Evaluation results ; Excitation signals ; High quality ; Linear prediction ; Linear prediction method ; Low order ; MSE ; Network terminals ; NLMS ; Normalized least mean square ; Packet-based communication ; Quality reduction ; Speech segments ; Voice quality ; VoIP ; Adaptive filters ; Communication systems ; Forecasting ; Internet telephony ; Mean square error ; Packet loss ; Real time systems ; Signal to noise ratio ; Speech analysis ; Speech communication ; Voice/data communication systems ; Least squares approximations
  8. Source: Canadian Conference on Electrical and Computer Engineering, 8 May 2011 through 11 May 2011 ; May , 2011 , Pages 000292-000295 ; 08407789 (ISSN) ; 9781424497898 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6030457