About Silent Speech Interpreter

An innovative AI-powered solution designed to empower mute individuals and bridge communication gaps.

Our Mission

Silent Speech Interpreter was created with a clear mission: to bridge the communication gap for individuals who cannot speak verbally. We believe that everyone deserves a voice, regardless of physical abilities.

Our goal is to harness the power of artificial intelligence to create a solution that empowers mute individuals to communicate effortlessly with the world around them. By interpreting lip movements, facial expressions, and hand gestures, our technology gives voice to those who cannot speak.

We are committed to continuously improving our technology to make communication more accessible, intuitive, and natural for everyone.

Person using Silent Speech Interpreter

Key Features

Silent Speech Interpreter combines multiple technologies to create a comprehensive communication solution:

Real-time Lip Reading

Our advanced CNN-based model captures and interprets the subtle movements of lips, converting silent speech into text with remarkable accuracy.

Emotion Recognition

We detect facial expressions to understand the emotional context behind words, adding appropriate tone and emphasis to synthesized speech.

Gesture Detection

Our system recognizes common hand gestures and maps them to frequently used phrases, enabling quick communication of common needs.

Natural Speech Synthesis

Text is converted to natural-sounding speech with adjustable voice types, speech rates, and emotion-based modulation.

Personalized Training

Users can train the system on their unique lip movements and custom phrases, improving accuracy over time.

Offline Processing

All processing happens locally on your device, ensuring privacy and enabling use without an internet connection.

How It Works

Silent Speech Interpreter uses a sophisticated pipeline of AI technologies:

  1. Video Capture: The system captures video from your device's camera in real-time.
  2. Face & Lip Detection: Using computer vision, we identify and track facial landmarks, focusing on the lip region.
  3. Lip Reading: A trained neural network analyzes lip movements and predicts the corresponding words.
  4. Emotion Analysis: Facial expressions are analyzed to determine emotional context.
  5. Gesture Recognition: Hand gestures are detected and mapped to predefined phrases.
  6. Text Generation: The interpreted lip movements and gestures are converted to text.
  7. Speech Synthesis: The text is spoken aloud using a text-to-speech engine with emotion-appropriate modulation.

Our Team

Silent Speech Interpreter was created by a passionate team dedicated to making communication accessible for everyone.

Chinmay Bhatt

Chinmay Bhatt

Founder & Lead Developer

Technology Stack

Silent Speech Interpreter is built using cutting-edge technologies:

AI & Machine Learning

  • TensorFlow/Keras
  • Convolutional Neural Networks
  • MediaPipe
  • Computer Vision

Backend

  • Python
  • OpenCV
  • NumPy
  • PyTTSx3

Frontend

  • HTML5
  • CSS3
  • JavaScript
  • WebRTC