VoIP speech quality estimation in a mixed context with genetic programming

Voice over IP (VoIP) speech quality estimation is crucial to providing optimal Quality of Service (QoS). This paper seeks to provide improved speech quality estimation models with better prediction accuracy by considering a richer set of input features than the current International Telecommunications Union-Telecommunication (ITU-T) recommendations. It addresses a transitional phase, where wideband (WB) networks are becoming available. However, they have to co-exist with the existing narrowband (NB) setups for the time being. Quality estimation becomes a challenge in such a mixed context. The ITU-T recommendation (termed EModel) has recently been extended to deal with the mixed context. However, it evaluates the speech degradation in the WB scenario based solely on codec related distortions (only a subset of factors affecting the speech quality on a VoIP network). The extension is derived out of speech signals evaluated by human subjects: an expensive and difficult to reproduce exerc...

• Type: Conference
• Year: 2008
• Where: GECCO
• Authors: Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Conor Ryan
• Keywords: GECCO 2008, Mixed Context, Optimization, Quality Estimation Models, Speech Quality Estimation