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

Danny Websdale, Thomas Le Cornu, Ben Milner

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A study is presented on how well objective measures of speech quality and intelligibility can predict the subjective in- telligibility of speech that has undergone spectral envelope smoothing and simplification of its excitation. Speech modi- fications are made by resynthesising speech that has been spec- trally smoothed. Objective measures are applied to the mod- ified speech and include measures of speech quality, signal- to-noise ratio and intelligibility, as well as proposing the nor- malised 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)
Original languageEnglish
Publication statusPublished - 2015
EventInterspeech 2015 - Dresden, Germany
Duration: 6 Sep 201510 Sep 2015


ConferenceInterspeech 2015

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