Google's Project Relate App: Using Automated Speech Recognition & Speech-to-Speech Conversion to Facilitate Communication

Leveraging new technology to support clients with atypical speech

ON-DEMAND PRESENTATION | 0.2 ASHA CEUs available

The Speech and Research teams behind the Google Project Relate Android Mobile Application aims to optimize automatic speech recognition (ASR) for individuals with atypical speech and invites speech-language pathologists to learn more about this tool and how they can leverage it as an Alternative and Augmentative Communication (AAC) or Assistive Technology (AT) tool for their clients.

Speech impairments affect millions of individuals and advancements in artificial intelligence (AI) in the field of speech, such as automatic speech recognition (ASR) and speech to speech conversion, could open doors to independence. In this talk you will hear about the research and development behind Google's Project Relate Android Mobile Application which aims to use AI to help these individuals. The app has three features: Listen, Repeat, and Assistant. Listen transcribes speech to text, so it can serve as live "closed captioning" for your voice. Repeat restates what you've said in a clear, computerized voice, which often helps in short face-to-face interactions like ordering coffee. With Assistant, speak directly to your Google Assistant so you can take care of tasks like setting a timer or playing a song using a voice command.

Discover how this Alternative/Augmentative Communication (AAC)/Assistive Technology (AT) tool can help your clients with atypical speech.

Format & Length

Online, pre-recorded presentation (2.0 hours)

Cost

Free

Audience

Speech-Language Pathologists
Open to all

This presentation will focus exclusively on Google’s Project Relate and will not include information on other similar or related products. Google provided financial support for this course.

Dr. Jordan Green receives a salary as faculty at MGH Institute of Health Professions, a salary as principal investigator with the National Institute of Health (NIH), wages as a consultant at Google, and royalties as a consultant for Modality AI. Dr. Green does not have any relevant non-financial relationships to disclose.

Katie Seaver receives wages as SLP Consultant for ProUnlimited at Google. She does not have any relevant non-financial relationships to disclose.

Richard Cave receives a salary as SLP at MND Association United Kingdom and a salary as SLP consultant for Adecco at Google. Richard does not have any relevant non-financial relationships to disclose.

Pan-Pan Jiang receives a salary as Technical Program Manager at Google. Pan-Pan does not have any relevant non-financial relationships to disclose.

On-Demand Access Includes immediate access to a 2-hour presentation and handouts, hosted on D2L Brightspace (MGH IHP learning management system). See CEU section for more info on available ASHA credit.	Free

On-Demand Access

Includes immediate access to a 2-hour presentation and handouts, hosted on D2L Brightspace (MGH IHP learning management system).

See CEU section for more info on available ASHA credit.

Free

How to Access Your Course

Click Register Now to enroll. Then go to D2L Brightspace at https://mghinstitutecpd.brightspace.com and login with the email address you registered with. Click Forgot Password to reset if needed.

For any questions or concerns regarding this offering or the registration process, contact us at:

Office of Continuing and Professional Development
Email: cpd [at] mghihp.edu (cpd[at]mghihp[dot]edu)
Phone: 617-724-6674

Learning Outcomes

Summarize the current state of Google’s speech recognition for people with atypical speech.

Identify/determine appropriate candidates for Project Relate.

Describe features and use of Project Relate.

Identify 4 applications of Project Relate as an AAC/AT tool.

Describe the steps that a person with atypical speech takes to use Project Relate from registration through every day use.

Learn More About Project Relate

Meet the Speakers

Jordan Green, PhD, CCC-SLP, FASHA

Dr. Green is the Chief Scientific Advisor and Matina Souretis Horner Professor in Rehabilitation Sciences at the MGH Institute of Health Professions and holds appointments at the Harvard Medical School and Spaulding Rehabilitation Hospital. His research focuses on speech and swallowing impairments across the lifespan, and includes projects with industry partners focused on developing speech biomarkers of health and disease, and automatic speech recognition enabled technology for individuals with speech impairments. He has served on multiple grant review panels at the National Institutes of Health. In 2012, he was appointed as a Fellow of the American Speech-Language-Hearing Association, and in 2015, Dr. Green received the Willard R. Zemlin award in Speech Science.

Richard Cave, SLT

A Highly Specialist Speech and Language Therapist / Project Manager with more than 12 years specialist experience. Registered in the UK with RCSLT. Working with the MND Association, the leading non-profit in the UK for the ALS community. Attained Masters of Research with distinction at UCL on Voice Banking in 2019 and now a PhD candidate focusing on assistive technology for people living with ALS. Skilled in complex assistive technology. Previously, IT project manager at Dell.

Katie Seaver, MS, CCC-SLP

A Massachusetts licensed speech-language pathologist and certified member of the American Speech and Hearing Association. She is currently a consultant with Project Euphonia and Project Relate at Google. She is an expert in the field of Augmentative and Alternative Communication for adults with acquired complex communication impairments with a primary focus on people living with ALS.

Pan-Pan Jiang

Pan-Pan Jiang is a Technical Program Manager on the Google Project Relate team. She earned a PhD in evolutionary biology from Harvard University, before joining Google to help catalyze research for building health and accessibility products.

Continuing Education Credits

Speech-Language Pathologists

This presentation is eligible for 0.2 ASHA CEUs between July 15, 2023 to July 13, 2024.
Partial credit is not available. Participants must watch the full presentation and submit the survey and ASHA CE info form within the learning management system (LMS) between the eligibility dates to receive CEUs.
CE participant info will be submitted to ASHA registry on a monthly basis. A certificate of completion is also awarded after survey submission within the LMS.