Our Evaluative Artificial Speech Intelligence-Autism Screener project (EASI-AS) is an NSF/SBIR Phase II grant. EASI-AS will feature cutting-edge machine-learning technology that will reliably screen for autism by identifying non-linguistic acoustic features, extracted from recordings of children’s speech. The system will use familiar mobile devices to collect speech samples, which will employ a user-friendly interface that parents and professions can operate with little to no training. Research has shown that early intensive intervention services can improve social and communication skills in autistic children. So increasing access to early intervention services is one of the key goals of our project.
​