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Speech Communication - Special issue on speech and emotion
Human-centered computing: a multimedia perspective
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Proceedings of the 15th international conference on Multimedia
IEEE MultiMedia
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Quality of multimedia experience: past, present and future
MM '09 Proceedings of the 17th ACM international conference on Multimedia
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
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Proceedings of the international conference on Multimedia
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The voice communication industry is undergoing a rapid phase change with continuously evolving technologies such as cellular, mobile and Internet telephony. Effective evaluation of system performance is becoming critical, which will serve as an important instrument for service providers to monitor and manage quality. Recently, Quality of Experience (QoE) metrics are found to be more valuable quality assessment mechanism since they are more closely related to human perception as compared to traditional QoS-based techniques. In this paper, we investigate a new affect-based approach for QoE evaluation. Our hypothesis states that QoE in voice communication is correlated to user's affective behavior, which will vary across networking conditions. We conduct extensive user study based on natural human-human voice communication. The experimental results indicate very promising prospect of this approach.