Over 70 million deaf people worldwide rely on sign language for communication, enabling them to learn, work, and participate in society while fostering their inclusion within communities. However, teaching everyone sign language to ensure inclusivity and equal rights remains a significant challenge. This project aims to bridge this gap by developing a user-friendly human–computer interface (HCI) capable of understanding American Sign Language. By leveraging advanced tools like CNN, MediaPipe, and others, the system can process gestures and convert them into speech in real-time. This innovation not only simplifies communication but also empowers the deaf and mute communities, ensuring their voices are effectively heard and understood in day-to-day interactions.

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Realtime Sign Language to Speech Conversion

  • Raj Bapat,
  • Balasaheb Jadhav,
  • Sanskar Kulkarni,
  • Rriddhi Rathi,
  • Sanyam Kothari,
  • Roshan Raut

摘要

Over 70 million deaf people worldwide rely on sign language for communication, enabling them to learn, work, and participate in society while fostering their inclusion within communities. However, teaching everyone sign language to ensure inclusivity and equal rights remains a significant challenge. This project aims to bridge this gap by developing a user-friendly human–computer interface (HCI) capable of understanding American Sign Language. By leveraging advanced tools like CNN, MediaPipe, and others, the system can process gestures and convert them into speech in real-time. This innovation not only simplifies communication but also empowers the deaf and mute communities, ensuring their voices are effectively heard and understood in day-to-day interactions.