• Voice Input Implementation Roadmap
  • 🎤 Voice Input Pipeline Implementation
    • Phase 1: Windows Environment Setup
    • Phase 2: Voice Input Integration
    • Phase 3: Advanced Voice Features
  • 🔧 Technical Requirements
    • Audio Dependencies
    • Hardware Requirements
  • 📋 Implementation Checklist
    • Voice Input Components
    • User Interface Updates
    • Learning Features
  • 🎯 Success Criteria
  • 📁 Files to Modify
  • 🔄 Testing Plan

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Voice Input Implementation Roadmap

Target: Complete Korean Learning TUI with Full Voice Capabilities

🎤 Voice Input Pipeline Implementation

Phase 1: Windows Environment Setup

• Install Python 3.14 on Windows host machine
• Install requirements from requirements-windows.txt
• Verify microphone hardware access
• Test basic speech recognition functionality

Phase 2: Voice Input Integration

• Implement microphone capture in TUI
• Add Korean speech recognition (Google API)
• Create pronunciation assessment system
• Integrate voice commands for navigation

Phase 3: Advanced Voice Features

• Real-time pronunciation scoring
• Voice-controlled learning games
• Conversation practice with AI
• Accent training and feedback

🔧 Technical Requirements

Audio Dependencies

SpeechRecognition>=3.10.0    # Core speech-to-text
pyaudio>=0.2.11              # Microphone interface  
pyttsx3>=2.90                # Text-to-speech
pywin32>=306                 # Windows speech APIs

Hardware Requirements

• Working microphone (USB or built-in)
• Audio output (speakers/headphones)
• Windows 10/11 with audio drivers
• Internet connection (for Google Speech API)

📋 Implementation Checklist

Voice Input Components

• VoiceInputManager class for microphone handling
• Korean language detection and processing
• Audio quality validation
• Background noise filtering
• Timeout and error handling

User Interface Updates

• Voice input indicators in TUI
• Recording status displays
• Audio level meters
• Voice command help system

Learning Features

• Pronunciation practice mode
• Voice-activated vocabulary games
• Spoken conversation with AI
• Progress tracking for speech

🎯 Success Criteria

• User can speak Korean words and get recognition
• Pronunciation accuracy feedback provided
• Voice input works seamlessly with existing TUI
• Performance suitable for real-time learning

📁 Files to Modify

• korean_learning_tui_with_voice.py - Add voice input
• korean_voice_utils.py - Extend with input functions
• setup_windows.py - Add voice input testing
• Create voice_input_manager.py - New voice input class

🔄 Testing Plan

1. Unit Tests: Individual voice components
2. Integration Tests: Voice + TUI interaction
3. User Tests: Real Korean learning scenarios
4. Performance Tests: Latency and accuracy metrics

Next Action: Set up Windows development environment and implement Phase 1