Sign-Speak provides automatic, real-time captioning and American Sign Language (ASL) to English interpreting services through a machine learning-based platform and mobile application. This technology enables seamless communication between hearing individuals and the deaf and hard-of-hearing communities by translating sign language into spoken language and vice versa.
Funding
$766K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
NSTRFounders
Product
Problem
Deaf and hard-of-hearing individuals often face communication barriers when interacting with hearing individuals, particularly in situations where human interpreters are unavailable or costly. Existing automated sign language translation solutions often lack accuracy and fail to capture the nuances of sign language, hindering effective communication.
Solution
Sign-Speak offers an AI-powered platform that provides real-time translation between American Sign Language (ASL) and spoken English, facilitating seamless communication between deaf, hard-of-hearing, and hearing individuals. The platform utilizes advanced machine learning models to convert sign language into text or voice and vice versa. Sign-Speak's technology aims to provide functional equivalence and increased autonomy for the Deaf and Hard of Hearing community by making sign language recognition as widespread as voice recognition. The system leverages 2D cameras, eliminating the need for specialized equipment. Sign-Speak also offers a closed captioning system to facilitate accessibility by captioning ASL videos.
Target Audience
The primary target audience includes deaf and hard-of-hearing individuals, businesses, and organizations seeking to improve accessibility and communication with the Deaf community.
Features
- Real-time ASL to English and English to ASL translation
- Sign language recognition converts sign language into text or voice
- Sign language avatar translates voice into sign language
- Closed captioning system for ASL videos
- API for integration into existing applications
- Community-centric approach with continuous improvement based on user feedback
- Utilizes 2D cameras, eliminating the need for special equipment