16th Annual Conference of the International Speech Communication Association

Dresden, Germany
September 6-10, 2015

Objective Measures for Predicting the Intelligibility of Spectrally Smoothed Speech with Artificial Excitation

Danny Websdale, Thomas Le Cornu, Ben Milner

University of East Anglia, UK

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, signal-to-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).

Full Paper

Bibliographic reference.  Websdale, Danny / Cornu, Thomas Le / Milner, Ben (2015): "Objective measures for predicting the intelligibility of spectrally smoothed speech with artificial excitation", In INTERSPEECH-2015, 638-642.