Speech Production Lab Syracuse University

Speech Production Lab Syracuse University Our research addresses speech sound misarticulations in children with speech sound disorders, including childhood apraxia of speech.

10/22/2025

Free open access article: Exploring perception of coarticulatory cues in childhood apraxia of speech and residual speech sound disorders: A pilot study

Free teletherapy study on AI-assisted treatment for /r/!
07/16/2025

Free teletherapy study on AI-assisted treatment for /r/!

For more information and the prescreening link, go to: https://speechproductionlab.syr.edu/research/intensive-telepracti...
07/09/2025

For more information and the prescreening link, go to: https://speechproductionlab.syr.edu/research/intensive-telepractice-for-children-with-s-errors/.

Speech Motor Chaining is an evidence-based motor learning treatment for speech sound disorders. Our past research has shown that children who have demonstrated little progress following traditional treatment can improve their speech sounds with motor learning treatment. In this study, we are researching if Speech Motor Chaining within an alternative treatment schedule of four, 10-minute sessions provided weekly can be used to help children who are stimulable for /s/ learn to produce /s/ more consistently. Additionally, we are researching if an alternative target selection method can lead to greater improvements in /s/ accuracy than the traditional method of target selection.

Repost. Thanks to for catching that I confused June and July. Time is FLYING but apparently not that fast 🙃*********Bus...
06/13/2025

Repost. Thanks to for catching that I confused June and July. Time is FLYING but apparently not that fast 🙃
*********
Busy couple of days at the Boston Speech Motor Control Symposium for the lab and our larger research group.

If you’re attending BSMC, check out these posters from our lab members.

Preschool CAS treatment study in CNY
06/07/2025

Preschool CAS treatment study in CNY

🌟Rounding out a busy weekend, Drs. Preston and Benway spoke at the Pennsylvania state convention ().🌟

A quick note from...
03/23/2025

🌟Rounding out a busy weekend, Drs. Preston and Benway spoke at the Pennsylvania state convention ().🌟

A quick note from them: Thank you so much for inviting us to speak at your state convention! We had an amazing time discussing all things Speech Motor Chaining and AI and connecting with all of you. Your enthusiasm and support mean the world to us! 💬✨

I am super honored to have received the Distinguished Achievement Award for my role in the lab translating research int...
03/21/2025

I am super honored to have received the Distinguished Achievement Award for my role in the lab translating research into practice.

Thankful for all of my lab/SU colleagues, including the team at the Speech Production Lab. So glad that Drs. Linda Milosky and Janet Ford thought the lab would be a place I would thrive.

I appreciate the opportunities to visit clinics and talk to SLPs about what we’re doing in our studies and how to translate that to their own clinical practice. I love sharing my love of biofeedback to help SSD treatment be more efficient.

So glad it is my job everyday to support participants in their SSD treatment journeys.

Thanks again for this honor!

Congrats Megan on receiving the NYSSLHA Distinguished Achievement Award! 🎉👏🏽🍾
03/21/2025

Congrats Megan on receiving the NYSSLHA Distinguished Achievement Award! 🎉👏🏽🍾

Sometimes you travel for work but you still have a research session. For those of you wondering: Yes, you can do a telep...
03/19/2025

Sometimes you travel for work but you still have a research session. For those of you wondering: Yes, you can do a telepractice visual-acoustic session from a hotel room. 🙃

As we start our holiday break, it’s a great time to reflect on the past year. We’ve had a great year in the Speech Produ...
12/24/2024

As we start our holiday break, it’s a great time to reflect on the past year. We’ve had a great year in the Speech Production Lab - these are just some of our highlights.

We’re off until the new year. May this holiday season bring you the rest you deserve, the relaxation you need, and the energy to embrace what lies ahead.

I have a couple of minutes while people are boarding the plane to tell you about Nina’s Friday presentations. This 2-par...
12/05/2024

I have a couple of minutes while people are boarding the plane to tell you about Nina’s Friday presentations.

This 2-part session focuses on helping speech-language pathologists (SLPs) understand how to critically assess AI and machine learning tools designed to assist with evaluating and treating speech sound disorders (SSD) in children with normal hearing. It aims to equip SLPs with the knowledge to judge the accuracy, reliability, and ethical implications of these tools.

In Part 1, SLPs will learn key concepts and terminology needed to evaluate claims made by clinical speech technologies. Part 2 will focus on analyzing research to determine how effective these tools are in real-world clinical settings.

Key Learning Outcomes:
1️⃣Understand how concepts like validity, reliability, and ethics apply to AI in clinical practice.
2️⃣Learn about the “V3 framework,” which includes hardware verification, analytical validation, and clinical validation for AI tools.
3️⃣Gain skills to critically review recent research on clinical speech technologies.

Ready for a deep dive into kinematic data? Check out Nina’s technical research session. Note: this is an advanced level ...
12/04/2024

Ready for a deep dive into kinematic data? Check out Nina’s technical research session. Note: this is an advanced level research-focused presentation. Limited to no info for (immediate) clinical takeaway.

Collecting kinematic data, which tracks speech movements, is usually slow and expensive. However, a new machine learning tool called the Speech Inversion System can estimate this data from audio recordings, making it easier to study more speakers and speech movements. This research shows two key findings:

1️⃣ The Speech Inversion software can accurately estimate speech movement data from audio.

2️⃣Using this estimated data, the researchers identified key differences between children with apraxia of speech and those with other speech disorders. Their method had a high accuracy rate (AUROC = 0.90).

The study also highlighted the importance of coordination between the voice source (like the vocal cords) and the vocal tract (like the lips and tongue) for diagnosing speech disorders. When this coordination data was removed, the system’s accuracy dropped significantly.

💡Learn how to use the Speech Inversion System to turn audio into kinematic data.

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Syracuse, NY
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