Multilingual system for early detection of neurodegenerative and psychiatric disorders
AssigneeLangAware, Inc.
InventorsVasiliki Rentoumi, Georgios Paliouras
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AssigneeLangAware, Inc.
InventorsVasiliki Rentoumi, Georgios Paliouras
Estimating the term…
The present disclosure provides a system for predicting a disease state based on speech occurrences. A feature extraction module extracts a plurality of lingual features from a speech record of the speech occurrence. The lingual features are chosen based on a correlation between the lingual features and the disease state in at least a first language and a second language. The lingual features are consistent for transcripts in at least the first language and the second language. A prediction module including a trained classification model generates a prediction of the disease state for speech occurrences in at least the first language and the second language using the lingual features extracted from the speech records.
A method comprising:
A method comprising:
A system for predicting a disease state based on a speech occurrence, the system comprising:
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