Performance Assessment Method for Speech Enhancement Systems

نویسندگان

  • Bernard Grundlehner
  • Johan Lecocq
  • Radu Balan
  • Justinian Rosca
چکیده

A new method to assess noise reduction algorithms with respect to their ability to enhance the perceived quality of speech is presented. Such algorithms consist of both single-microphone systems and multiple microphone systems. Tests of the presented method show a higher correlation with subjective assessments than any other objective system known by the authors. It is believed that this method is suitable to improve the comparability between noise reduction algorithms. Another area of application could be the optimization of parameters in a noise reduction algorithm, as well as the optimization of the geometric microphone positioning.

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تاریخ انتشار 2005