Sign to Speech

About this project

Sign to speech will seek to create a device capable of translating signs into text that can be both written and generated into sound in real time, empowering sign language users to better communicate with other in real time in the classroom, at home and at play. The team developed a training machine learning classifier to analyze the input from the human body in the form of sign language and create text or speech from that input.

The challenge

She is looking for a way to live independently with poeple easily understanding her.

Who it helps

Julia Valmarrosa is deaf and only communicates through sign language and an interpreter.

Project details

• Stage: Concept
• Built by the Bay Area community, Bay Area, United States of America
• Team: Julia
• Category: Daily Living
• 13 downloads

The build files for Sign to Speech are free to download from this page - open source, shared by TOM: Tikkun Olam Makers.

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