Letter to the Editor: Commentary on Feasibility Study of Parkinson’s Speech Disorder Evaluation With Pre-Trained Deep Learning Model for Speech-to-Text Analysis (Korean J Neurotrauma 2024;20:168-179)
Kyung Hwan Kim · 2024
Read Letter to the Editor: Commentary on Feasibility Study of Parkinson’s Speech Disorder Evaluation With Pre-Trained Deep Learning Model for Speech-to-Text Analysis (Korean J Neurotrauma 2024;20:168-179) by Kyung Hwan Kim (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11711028.txt.
Description
Kyung Hwan Kim writes this 2024 letter on a study that used a speech-to-text deep learning model to judge speech problems in Parkinson's disease. Kim praises the feasibility work, then offers upgrades. The study lists severity scales but barely ties them to recognition accuracy, though accuracy across disease stages is the clinical question. Its comparison with healthy speakers also stays shallow; tracing the fine sound features the model uses could aid early detection and help the tool explain itself while it screens.
Catalog record
| CREATOR | Kyung Hwan Kim |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |