Title :
Joint effect of channel coding and AMR compression on speech quality
Author :
Minh-Quang Nguyen;Hang Nguyen
Author_Institution :
Department of Wireless Network and Multimedia Services, Institut Mines-Telecom-Telecom SudParis, Samovar Laboratory, UMR 5157, CNRS, Evry, France
Abstract :
In this paper, we estimate the effect of joint Adaptive Multirate (AMR) compression and channel coding on quality of speech data. In our simulation, speech data are transferred over AWGN channel after performing 8 AMR codec modes (corresponding to 8 different compression rates) and 12 convolution code rates. The joint effect is estimated in the receiver by analyzing quality of received speech data by Mean Opinion Score. Our result shows that conventional scheme performing source coding and channel coding separately and sequentially does not guarantee obtaining the optimal solutions for speech data.
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM 2015), 11th International Conference on
DOI :
10.1049/cp.2015.0675