Our multidisciplinary approach revives decades of speech alteration research with best-in-class machine learning and natural language processing.
The disciplines of natural language processing and deep audio encoding have forever changed in the last three years. We’re now using these advances to forever change speech biomarkers.
Computational linguistics
Our scientists produce world-class linguistic research, forging a new understanding of how the brain produces language and detecting the subtle semantic/syntactic changes associated with disease.
Natural language processing
Applying bleeding edge research in natural language processing we build better pattern extractors, that works on widely varying speech, in many languages.
Natural language processing
Applying bleeding edge research in natural language processing we build better pattern extractors, that works on widely varying speech, in many languages.
Deep audio processing
Using raw speech signals our scientists analyze the prosodic, acoustic and affective elements of speech, learning how they change when the brain’s health deteriorates.
Machine Learning
Bleeding-edge advances in supervised and unsupervised Machine Learning make this possible by finding patterns in our large, proprietary datasets of speech paired with biomarkers and other health data.
Machine Learning
Bleeding-edge advances in supervised and unsupervised Machine Learning make this possible by finding patterns in our large, proprietary datasets of speech paired with biomarkers and other health data.
Cloud infrastructure
Our asynchronous data processing infrastructure handles data in real time and at scale – ensuring security and compliance.
See how we integrate this all in our biomarker platform
