A novel real time voice quality testing model for VoIP ambience environment in wireless LAN

摘要

This In this work, we propose a model for measuring and improving voice quality under ambience environment for VoIP calls in wireless WLAN 802.11. Existing models such as E-model, PESQ model and Adaptive model which address QoS in VoIP networking do not address voice quality management in real time environment to improve voice quality. The idea is to use background noise and its associated source information in an adaptive environment to boost user perceivance audio level thereby quality is assured. This issue is important because in real time, consumers might be interested with mobiles that address ambience effect to determine human audible effect based on environment conditions. The set-up include environment noise detector to assimilate environment noise level and adaptive audio factor manager to tune audio level accordingly. Then QoS factor is determined for this set-up. Further, according to our model, when dB level increases, audio level at receiver side is tuned adaptively at that point of time by decision manager thereby providing better QoI metric under ambience environment.