Packet loss concealment-based estimation of polynomial interpolation for improving speech quality in VoIP

Abstract

The main objective of packet loss concealment (PLC) techniques is to improve the speech quality in voice over IP (VoIP). These techniques generate a synthetic speech signal to cover the missing data or the lost packets in a received bit stream. This paper is concerned with performing a new PLC technique using the estimation of polynomial interpolation (EPI) method, which is designed to seek the approximate function as a polynomial. This function can be used to predict the lost packet from previous packets. A two state Markov model, particularly, is used to represent the lost packets. The used test vectors, in the proposed PLC evaluation, are the TIMIT database. Thus, the proposed PLC algorithm, which is provided better speech quality, is evaluated by PESQ and SNR and compared to two techniques; the hidden Markov model (HMM)-based PLC algorithm and the deep neural network (DNN)-based PLC.