DocumentCode
703413
Title
Improved lost frame recovery techniques for ITU-T G.723.1 speech coding system
Author
Ho, Grant ; Yeldener, Suat ; Baraniecki, Marion
Author_Institution
Commun. Technol. Div., COMSAT Labs., Clarksburg, MD, USA
fYear
1998
fDate
8-11 Sept. 1998
Firstpage
1
Lastpage
4
Abstract
Accepted by the ITU in 1996, the G.723.1 dual rate speech coder [1] has since been used for application in low bit-rate videophone systems [2]. Specifically, it has been used to encode voice for multimedia services over packet-switching networks including IP, ATM, Frame Relay, as well as over mobile communications networks. Due to the near toll quality [3] of the G.723.1 speech coder, it is ideal for real-time voice communications over private and local area networks (LANs) where packet loss is minimal. However, over wide area networks (WANs), global area networks (GANs), and mobile communications networks, congestion is often severe and increasing rates of packet loss may generate significant distortions in output speech quality if unremedied. This paper describes a lost frame recovery technique for reconstructing lost packets at the speech decoding system. For packet loss rates up to 15%, simulation results show a substantial improvement in output speech quality over the current strategy [1] provided for the G.723.1 speech coder, at the price of increasing algorithmic delay.
Keywords
speech coding; ATM; GAN; IP; ITU-T G.723.1 speech coding system; LAN; WAN; frame relay; global area network; improved lost frame recovery technique; local area network; lost packet reconstruction; low bit-rate videophone system; mobile communication network; multimedia service; packet-switching network; real-time voice communication; speech quality; wide area network; Attenuation; Gain; Interpolation; Packet loss; Speech; Speech coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location
Rhodes
Print_ISBN
978-960-7620-06-4
Type
conf
Filename
7089884
Link To Document