Objective measures for predicting the intelligibility of spectrally smoothed speech with artificial excitation

نویسندگان

  • Danny Websdale
  • Thomas Le Cornu
  • Ben P. Milner
چکیده

A study is presented on how well objective measures of speech quality and intelligibility can predict the subjective intelligibility of speech that has undergone spectral envelope smoothing and simplification of its excitation. Speech modifications are made by resynthesising speech that has been spectrally smoothed. Objective measures are applied to the modified speech and include measures of speech quality, signalto-noise ratio and intelligibility, as well as proposing the normalised frequency-weighted spectral distortion (NFD) measure. The measures are compared to subjective intelligibility scores where it is found that several have high correlation (|r| ≥ 0.7), with NFD achieving the highest correlation (r = −0.81).

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تاریخ انتشار 2015