Our technology examines both the voice (acoustic) and the language (content) of patients’ productions.
We develop our own natural language processing (NLP) and signal processing techniques to automate the extraction of speech biomarkers.
From a 1-minute speech snippet, we extract various features such as vocabulary, speech rate, prosody, intelligibility and perseveration to assess motor, cognitive and psychiatric symptoms.