Intelligent Hands-Free Speech Based SMS System on Android

Abstract

This project aims to develop an intelligent hands-free SMS system for Android devices, leveraging speech recognition and natural language processing (NLP) to enable users to send text messages without manual typing. The system focuses on improving accuracy, handling diverse accents and background noise, and integrating context-aware functionalities. The resulting system demonstrates enhanced usability and accessibility compared to existing methods, offering a more intuitive and efficient SMS experience. Successful implementation and testing show a significant reduction in SMS composition time and improved user satisfaction.

Introduction

Text messaging remains a ubiquitous communication method, yet composing SMS messages often requires manual typing, hindering usability, particularly while driving or performing other tasks. Existing voice-to-text systems often suffer from low accuracy, particularly in noisy environments or with diverse accents. This project addresses these limitations by developing an intelligent hands-free SMS system for Android, integrating advanced speech recognition and NLP techniques to achieve higher accuracy and a more intuitive user experience. This is crucial for improving accessibility and promoting safer mobile phone usage.

Objectives

• Develop a robust and accurate speech-to-text engine for Android.
• Implement a natural language processing module for intelligent message composition.
• Design a user-friendly interface for seamless hands-free SMS interaction.

Technical Details

• Google Speech Recognition API
• Natural Language Processing using Python (or TensorFlow Lite if using ML models)
• Android Studio, Java/Kotlin for app development
• Noise filtering and accent adaptation techniques
• User-friendly UI for SMS composition and sending