Automatic Intelligibility Assessment of Speakers After Laryngeal Cancer by Means of Acoustic Modeling

We show correlations for each data set with r and ρ ≥ 0.8 between the automatic system and the mean value of the five raters. The interrater correlation of one rater to the mean value of the remaining raters is in the same range. We thus assume that for selected evaluation criteria, the system can serve as a validated objective support for acoustic voice and speech analysis.