PACKET LOSS REPLACEMENT IN VOIP USING A LOW-ORDER RECURSIVE LINEAR PREDICTION METHOD

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.