Arizona Board of Regents on behalf of Arizona State University
发明人:
Visar Berisha,Ming Tu,Alan Wisler,Julie Liss
申请号：
US15693699
公开号：
US10796715B1
申请日:
2017.09.01
申请国别(地区):
US
年份:
2020
代理人:
摘要：
Systems and methods use patient speech samples as inputs, use subjective multi-point ratings by speech-language pathologists of multiple perceptual dimensions of patient speech samples as further inputs, and extract laboratory-implemented features from the patient speech samples. A predictive software model learns the relationship between speech acoustics and the subjective ratings of such speech obtained from speech-language pathologists, and is configured to apply this information to evaluate new speech samples. Outputs may include objective evaluation of the plurality of perceptual dimensions for new speech samples and/or evaluation of disease onset, disease progression, or disease treatment efficacy for a condition involving dysarthria as a symptom, utilizing the new speech samples.
