Speech to Text Converter - Audio Processing Application

Project Overview

A sophisticated speech recognition application built with Python that converts spoken language into text with high accuracy, featuring real-time audio processing and intelligent text formatting.

Key Features

• Real-time speech-to-text conversion with low latency
• Support for multiple languages and dialects
• Noise reduction and audio enhancement algorithms
• Automatic punctuation and text formatting

Technologies Used

• Python for core application development
• SpeechRecognition library for audio processing
• PyAudio for real-time audio capture
• Machine Learning algorithms for accuracy improvement

Usage

• Clone the repository
• Install required dependencies
• Configure microphone settings
• Run the application and start speaking

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