Towards a listener model for predicting the overall listening experience

Listeners have different preferences when it comes to rating the overall listening experience while listening to music. Therefore, a listener model for predicting the overall listening experience must consider sensory, perceptual, cognitive and psychological aspects rather than solely rely on perception-based attributes (e. g. audio quality) of the music signal. In this work, a generic model framework is defined for modeling a listener while taking part in an auditory experiment. In addition, a subset of the model is used to describe algorithms for predicting the overall listening experience based on experimental results. Thereby, the results of two experiments are utilized to define a prediction algorithm for the cases of bandwidth-degradation stimuli and playback by different reproduction systems.

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