State of AI/ML in American Sign Language | S02E10 | Lets talk about Data Show
In this Twitch show, we are talking about the different known players in the current industry trying to translate sign language into spoken or written language. We also talk about how AI/ML is impacting access for better or worse.
This "Let's Talk About Data" show focused on using AI and machine learning to interpret sign language. Rob Koch, a data engineer from Slalom, and Suresh Pupandi, a senior solutions architect from AWS, demonstrated an ASL video production avatar generation application they built and discussed the technology behind it.
Key Highlights:
- Machine learning models need large datasets to effectively process and classify signs, but there is limited sign language data available.
- New large language models allow feeding examples to instruct the model instead of needing huge datasets.
- Context is key - models can now understand the intended meaning of signs based on surrounding words.
- Application architecture uses Amplify, Step Functions and Lambda to orchestrate text and audio to sign language video translation.
Check out the recording here:
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Hosts of the show 🎤
Ibrahim Emara , RDS Specialist Solutions Architect @ AWS
Guests
Suresh Poopandi , Sr. Solutions Architect @ 𝐀𝐖𝐒
Rob Koch , Principal @ Slalom Build
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