| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7533246 | Journal of Voice | 2018 | 12 Pages |
Abstract
This study demonstrated the feasibility of automatic temporal segmentation of HSV imaging of connected speech, which allows for mapping the video content into onsets, offsets, and epiglottic obstructions for each vocalization. Automated analysis of HSV imaging of connected speech has significant clinical potential for advancing instrumental voice assessment protocols.
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Authors
Maryam Naghibolhosseini, Dimitar D. Deliyski, Stephanie R.C. Zacharias, Alessandro de Alarcon, Robert F. Orlikoff,