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Development of a clarity parameter using a time-varying loudness model.

Doheon Lee1, Jasper van Dorp Schuitman2, Xiaojun Qiu1

  • 1Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales 2007, Australia.

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A new sound clarity parameter, based on binaural room impulse response and loudness modeling, shows promise. It often outperforms the standard clarity index in predicting human sound perception, though not always as robustly as PCLA.

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Area of Science:

  • Acoustics
  • Psychoacoustics
  • Signal Processing

Background:

  • The standard clarity index (CI) relies on physical acoustic measures that may weakly correlate with human perception of sound.
  • Existing metrics struggle to accurately capture subjective sound clarity across diverse acoustic conditions.

Purpose of the Study:

  • To develop and validate a novel clarity parameter using binaural room impulse responses and a time-varying loudness model.
  • To assess the proposed parameter's correlation with subjective listener responses.

Main Methods:

  • Calculated a new clarity parameter from binaural room impulse responses processed with a time-varying loudness model.
  • Validated the parameter by computing correlation coefficients with existing subjective listening experiment data.
  • Compared the performance of the proposed parameter against the traditional clarity index (CI) and parameter for clarity (PCLA).

Main Results:

  • The proposed clarity parameter demonstrated superior performance compared to the clarity index (CI) in most tested scenarios.
  • The new parameter's predictive accuracy for perceived sound clarity was found to be less robust than the parameter for clarity (PCLA).

Conclusions:

  • The novel clarity parameter offers an improved estimation of perceived sound clarity over the traditional clarity index.
  • Further refinement is needed to match the robustness of the parameter for clarity (PCLA) in predicting subjective sound quality.