VASIR: Open-Source Android Application for Visual Analog Scale Intelligibility Rating of Dysarthric Speech
We present an open-source application for mobile devices called VASIR that provides a reliable and sensitive tool for accessible intelligibility rating using visual analog scales. VASIR is validated by examining the intelligibility in 23 Parkinson’s disease (PD) patients treated with subt...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10900367/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | We present an open-source application for mobile devices called VASIR that provides a reliable and sensitive tool for accessible intelligibility rating using visual analog scales. VASIR is validated by examining the intelligibility in 23 Parkinson’s disease (PD) patients treated with subthalamic nucleus deep brain stimulation (DBS) in on and off stimulation states, and 23 healthy controls. Two rater groups of naive and expert listeners performed intelligibility ratings using the provided application. An excellent intraclass correlation was found in both the naive (ICC = 0.97) and expert (ICC = 0.95) groups. Both listener groups were able to confidently differentiate between the controls and DBS groups (p < 0.001) whereas only the expert group was able to find statistically significant differences in intelligibility between on and off stimulation states (p = 0.031). |
|---|---|
| ISSN: | 2169-3536 |