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5b60acaa73
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feat: Implement complete MVP architecture for SecondVoice
Complete implementation of the real-time Chinese-to-French translation system:
Architecture:
- 3-threaded pipeline: Audio capture → AI processing → UI rendering
- Thread-safe queues for inter-thread communication
- Configurable audio chunk sizes for latency tuning
Core Features:
- Audio capture with PortAudio (configurable sample rate/channels)
- Whisper API integration for Chinese speech-to-text
- Claude API integration for Chinese-to-French translation
- ImGui real-time display with stop button
- Full recording saved to WAV on stop
Modules Implemented:
- audio/: AudioCapture (PortAudio wrapper) + AudioBuffer (WAV export)
- api/: WhisperClient + ClaudeClient (HTTP API wrappers)
- ui/: TranslationUI (ImGui interface)
- core/: Pipeline (orchestrates all threads)
- utils/: Config (JSON/.env loader) + ThreadSafeQueue (template)
Build System:
- CMake with vcpkg for dependency management
- vcpkg.json manifest for reproducible builds
- build.sh helper script
Configuration:
- config.json: Audio settings, API parameters, UI config
- .env: API keys (OpenAI + Anthropic)
Documentation:
- README.md: Setup instructions, usage, architecture
- docs/implementation_plan.md: Technical design document
- docs/SecondVoice.md: Project vision and motivation
Next Steps:
- Test build with vcpkg dependencies
- Test audio capture on real hardware
- Validate API integrations
- Tune chunk size for optimal latency
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-11-20 03:08:03 +08:00 |
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