Improving speech therapy for children using AI technology
Official title: Enhancing AI-based Speech Therapy through Acoustic-Derived Articulatory Feedback
Funded at New York University · NIH-11163828 · Data updated 2026-11-12
This study is testing a new way to help kids with Speech Sound Disorder by using smart technology that gives them instant feedback on how they speak, making it easier and more fun for them to practice and improve their speech with less help from therapists.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | December 1, 2024 |
| Project end | November 30, 2026 |
| Funding year | 2025 |
| Award (this year) | $32,974 |
| NIH project number | 1F31DC022514-01A1 |
| Project ID | NIH-11163828 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are children aged 0-20 years who are diagnosed with Speech Sound Disorder.
✕Less likely to help
Patients who do not have Speech Sound Disorder or are outside the age range of 0-20 years may not benefit from this research.
What this research studies
This research aims to enhance speech therapy for children with Speech Sound Disorder (SSD) by utilizing advanced artificial intelligence (AI) tools. The project focuses on developing systems that provide real-time feedback on speech production, which can help children practice and improve their speech accuracy. By analyzing speech data collected from children, the AI will offer personalized feedback, making therapy more effective and accessible. This approach seeks to alleviate the workload of speech language pathologists while ensuring that children receive the support they need.
Why it matters
Potential benefit: If successful, this research could significantly improve speech therapy outcomes for children with SSD, leading to better communication skills and enhanced quality of life.
How similar studies have gone: Previous research has shown promise in using AI and biofeedback for speech therapy, indicating that this approach could be effective.
Where this research is happening
-
New York University
New York, United States Active
Researchers
- Principal investigator: Eads, Amanda R — New York University
- Study coordinator: Eads, Amanda R
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.