In this paper, we propose a communication support tool for understanding emotion in an unstable narrowband network. The tool can reflect some emotion with a selected voice to character-based real time communication such as chat. The voice data is transmitted asynchronously and stored in local storage. In order to evaluate the effectiveness of communication to play voice data according to emotion, we implemented web-based voice contents classified according to some massage types and primitive emotion.