Quality and Usability

Quality

Goal

Measuring and modelling human perception to increase Quality of Experience (QoE).

    Approach:

    • Develop subjective test methods to quantify and improve quality
    • Develop instrumental methods and algorithms (traditional and Machine Learning based) for quality prediction

    Projects

    Past Projects:

    • Assessment and Prediction of the QoE of Mobile Gaming (DFG)
    • Attribute-based speech quality measures
    • Audio-visual quality
    • Bernstein Focus Neurotechnology - Berlin (BFNT - B)
    • COST Action IC 1003 Qualinet
    • CELTIC-Project: Quality of Experience Estimators in Networks (QuEEN)
    • Cross-service, cross-User Quality of Experience (CSCU QoE)
    • Methods and Models for assessing and predicting the QoE linked to Mobile Gaming (QoE-NET/MSCA-ITN Network)
    • Mobisense
    • Mobisense goes video
    • Multidimensional Speech QoE
    • Prometei
    • Physiological correlates of perceived quality
    • Quality of Mobile Gaming
    • Simulation of Conversational Behavior During Impaired Speech Transmissions (DFG)
    • Speech quality engineering
    • Speech quality modelling
    • Speech quality per call
    • STEAK: Spatial TelephonE conferencing for AsterisK (BMBF)
    • Study of the impact of wireless degradations on speech quality
    • Subjektive Messung und instrumentelle Schätzung von Sprachqualität in einer Konversationssituation auf Basis von perzeptiven Dimensionen (DFG)
    • TTS Corporate Voice
    • TTS Evaluation
    • T-V-Model
    • User-Friendly Estimation of Speech Quality for Telecommunications and Network Carriers (UFESQ)

    Topics

      • Quality of speech and audio services
      • Quality of video and audio-visual services
      • Quality of gaming
      • Quality of virtual and augmented reality