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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 41801 (55)
- University: Sharif University of Technology, International Campus, Kish Island
- Department: Science and Engineering
- Advisor(s): Ghorshi, Mohammad Ali; Mortazavi, Mohammad
- Abstract:
- In real-time packet-based communication systems one major problem is misrouted or delayed packets which result in degraded perceived voice quality. If some speech 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 in order to avoid quality reduction due to packet loss a suitable method and/or algorithm is needed to replace the missing segments of speech.There are several methods which have been proposed to reduce the effect of packet loss such as Waveform Substitution, High Order Autoregressive, Linear Prediction (LP), Linear Prediction plus Harmonic Noise Model (LP-HNM) etc. In this thesis, three different methods are introduced for replacement of lost speech segments such as a recursive low-order autoregressive model-based speech, a low-order recursive Linear Prediction plus Normalized Least Mean Square method (LP-NLMS) and a low-order recursive Linear Prediction plus Recursive Least Square method (LP-RLS) respectively. The evaluation results show that these methods have a lower mean square error (MSE) and a higher signal to noise ratio (SNR) compared to other methods like the high-order Autoregressive (AR) model, the efficient model base multi-rate method and ITU-G. 711 as a reference method
- Keywords:
- Linear Prediction ; Voice Over Internet Protocol (VOIP) ; Signal to Noise Ratio ; Mean Square Error (MSE) ; Recursive Least Square Estimation ; Packets Loss ; Low Order
- محتواي پايان نامه
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- Introduction
- Figure 3.8 Block diagram for the low order AR-based PLC algorithm (Adapted from [8]).
- References