Publications Search Results

Now showing 1 - 4 of 4
  • Publication
    Deriving sound quality measures from a perceptual model
    ( 2015)
    Schell-Majoor, Lena
    ;
    Rennies, Jan
    ;
    Ewert, Stephan D.
    ;
    There is a growing need for objective measures that provide a reproducible and reliable characterization of sound quality in many practical areas of sound design engineering. In current practice and research, however, the commonly used measures are rather simple technical measures (e.g. weighted sound pressure levels) or psychoacoustic measures (e.g. loudness, sharpness, roughness). These measures need to be verified for every new class of signals, and usually a different and newly adapted combination of several metrics is required to predict more high-level percepts such as sound annoyance or preference. Another promising approach to develop more generally applicable models is to employ perceptual models that incorporate all of the basic mechanisms underlying human sound perception (hearing thresholds, limited temporal and spectral resolution, dynamic compression, etc.). In this study, the output of an existing perceptual model is used to derive measures for evaluating the perceived quality of different stimuli. This includes artificial stimuli from fundamental psychoacoustic experiments (e.g. roughness perception) as well as real product sounds from other sound quality studies. The results are compared to experimental data and existing quality measures in order to evaluate the potential of the psychophysical model as frontend for sound quality evaluation.
  • Publication
    Application of psychophysical models for audibility prediction of technical signals in real-world background noise
    ( 2015)
    Schell-Majoor, Lena
    ;
    Rennies, Jan
    ;
    Ewert, Stephan D.
    ;
    A valid, objective computation of whether a real-world sound is detectable in a real-world acoustical environment is highly desirable in many noise control applications. However, most current prediction approaches have not been validated for this purpose and have not been tailored towards predicting the influence of certain signal features, such as the temporal structure or the spectral content of the masker or target. In order to evaluate the applicability of prediction approaches with respect to these signal features, detection thresholds of various real-world signals were measured for normal-hearing listeners. The detection thresholds depended on the temporal structure and spectrum of the target and the spectrum of the masker. The data were compared to predictions of five approaches ranging from time-averaged technical measures to psychoacoustic models, which incorporate these signal features to different extents. In general, the correspondence between predictions and the experimental data was better for the psychoacoustic models than for the results of the technical measures. Even though all models could account for most of the key effects in the experimental data, only the psychoacoustic models were able to predict the influence of the temporal structure of the signals. One of the models showed clear advantages in prediction performance, reaching an overall determination coefficient of R-2 = 0.94. This underlines the applicability of psychoacoustic models for correctly predicting audibility in real-world applications.
  • Publication
    Modeling masked thresholds of real signals in real backgrounds
    ( 2013)
    Schell-Majoor, Lena
    ;
    Rennies, Jan
    ;
    Ewert, Stephan D.
    ;