What is it about?
This work compares ASR accuracy (Google speech-to-text) to intelligibility and clinician ratings of speech impairment. We found that ASR accuracy is less consistent than intelligibility and aligns with clinician ratings only in a general sense. ASR may be appropriate in some instances to determine dysarthria severity, but it should not be used as a one-to-one substitute for intelligibility.
Photo by Volodymyr Hryshchenko on Unsplash
Why is it important?
ASR systems are becoming more accurate and more easily accessible. Because they compute accuracy automatically and objectively, they may offer a more efficient approach to rating speech intelligibility and severity in people with dysarthria. Currently, ASR is being used by some clinicians and in research settings, particularly those that have collected large amounts of speech data. It is important to understand the limitations and appropriate uses of this new tool.
Read the Original
This page is a summary of: Validity of Off-the-Shelf Automatic Speech Recognition for Assessing Speech Intelligibility and Speech Severity in Speakers With Amyotrophic Lateral Sclerosis, Journal of Speech Language and Hearing Research, June 2022, American Speech-Language-Hearing Association (ASHA), DOI: 10.1044/2022_jslhr-21-00589.
You can read the full text:
The following have contributed to this page