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Using machine learning technology to drive the future of autism diagnoses
Currently seeking vocal samples and recordings from families with autistic children for our NSF-funded study. Audio samples will be maintained securely and exclusively for development of an autism technology devoted to improving access to early interventions for autism care.
National Science Foundation SBIR Phase II Project
In partnership with Autism Digest
What is EASI-AS
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.
How can our community get involved?
We are working to help autistic children and their families by creating a tool that anonymously screens for autism by using speech samples. We are currently seeking language samples.
Record a 5-10 minute language sample with your child or patient with signed consent and upload to our database below.
If there are any questions or assistance required to take the language sample, please reach out here. Our team is happy to help!
Please share with your network with those passionate about improving autism care and partnering on our initiative.
How do parents collect and share their language sample?
We are accepting samples from children diagnosed with autism and those who are not, so as a first step please select the option that fits best:
Click to Participate
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