Comparison of an audio-based and a video-based approach for detecting diplophonia

The DSH showed excellent classification rates for separating diplophonic from euphonic phonation (sensitivity: 98.4%, specificity: 100%). In separating diplophonic from non-diplophonic dysphonic phonation, the bimodality measure slightly outperforms the DSH approach (sensitivity: 54.6%, specificity: 92.7%). The separation of diplophonia from other kinds of dysphonia is challenging, and more sophisticated methods are needed. It is concluded that auditive and glottal diplophonia must be distinguished. As the clinical assessment of diplophonia primarily aims at determining glottal conditions, the video-based approach might deliver clinically more relevant data than the auditive approach.