Speech-to-Sign Language Translation

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Project Overview:

Objective

The objective of this project is to develop a robust speech-to-sign language translation system that can convert spoken language into sign language in real-time. This system aims to bridge communication gaps between the deaf and hearing communities, enabling more inclusive and effective communication.

Scope

The project involves creating a comprehensive dataset of spoken language and corresponding sign language gestures, training machine learning models, and developing a user-friendly interface for real-time translation.

Sources

Spoken Language Recordings: Collecting audio recordings of various languages and dialects, covering a wide range of topics and contexts.
Sign Language Gestures: Capturing video recordings of sign language interpreters or native sign language users signing the spoken language sentences.
Deaf Community Collaboration: Partnering with deaf individuals and sign language experts to create authentic sign language annotations.

Data Collection Metrics

Total Audio Recordings: 10,000 sentences
Total Sign Language Gesture Recordings: 10,000 sentence

Annotation Process

Stages

Audio Transcription: Transcribing spoken language recordings into text.
Sign Language Annotation: Annotating video recordings with corresponding sign language gestures.
Model Training: Developing machine learning models that can map spoken language text to sign language gestures using the annotated data.

Annotation Metrics

Audio Transcriptions: 10,000 sentences
Sign Language Annotations: 10,000 sentences

Quality Assurance

Stages

Quality Control: Implementing a validation process involving deaf community members and sign language experts to review and verify the accuracy of sign language annotations.
User Feedback: Collecting feedback from deaf individuals and sign language interpreters to continuously improve the translation system’s accuracy and usability.

QA Metrics

Annotation Validation Cases: 2,000 (10% of total)

Conclusion

The Speech-to-Sign Language Translation project represents a significant advancement in inclusive communication technology. By combining a robust dataset, accurate annotations, and user feedback, this project aims to create a powerful tool for bridging the communication gap between the deaf and hearing communities, enhancing accessibility and promoting inclusive communication worldwide.