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

Authors: Adil Bakri; Abderrahmane Amrouche

Addresses: Speech Communication and Signal Processing Laboratory, LCPTS Faculty of Electronics and Computer Science, USTHB, B.P. 32, 16111, Bab-Ezzouar, Algiers, Algeria ' Speech Communication and Signal Processing Laboratory, LCPTS Faculty of Electronics and Computer Science, USTHB, B.P. 32, 16111, Bab-Ezzouar, Algiers, Algeria

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.

Keywords: PLC techniques; speech quality; voice over IP; VoIP; EPI method; HMM-based PLC algorithm; DNN-based approach.

DOI: 10.1504/IJISTA.2020.111066

International Journal of Intelligent Systems Technologies and Applications, 2020 Vol.19 No.5, pp.486 - 499

Received: 24 Jun 2019
Accepted: 07 Nov 2019
Published online: 09 Nov 2020 *

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