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>
224 lines
4.5 KiB
Markdown
224 lines
4.5 KiB
Markdown
# SecondVoice
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Real-time Chinese to French translation system for live meetings.
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## Overview
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SecondVoice captures audio, transcribes Chinese speech using OpenAI's Whisper API, and translates it to French using Claude AI in real-time. Perfect for understanding Chinese meetings on the fly.
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## Features
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- 🎤 Real-time audio capture
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- 🗣️ Chinese speech-to-text (Whisper API)
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- 🌐 Chinese to French translation (Claude API)
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- 🖥️ Clean ImGui interface
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- 💾 Full recording saved to disk
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- ⚙️ Configurable chunk sizes and settings
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## Requirements
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### System Dependencies (Linux)
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```bash
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# PortAudio
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sudo apt install libasound2-dev
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# OpenGL
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sudo apt install libgl1-mesa-dev libglu1-mesa-dev
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```
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### vcpkg
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Install vcpkg if not already installed:
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```bash
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git clone https://github.com/microsoft/vcpkg.git
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cd vcpkg
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./bootstrap-vcpkg.sh
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export VCPKG_ROOT=$(pwd)
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```
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## Setup
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1. **Clone the repository**
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```bash
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git clone <repository-url>
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cd secondvoice
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```
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2. **Create `.env` file** (copy from `.env.example`)
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```bash
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cp .env.example .env
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# Edit .env and add your API keys:
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# OPENAI_API_KEY=sk-...
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# ANTHROPIC_API_KEY=sk-ant-...
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```
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3. **Configure settings** (optional)
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Edit `config.json` to customize:
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- Audio chunk duration (default: 10s)
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- Sample rate (default: 16kHz)
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- UI window size
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- Output directory
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4. **Build the project**
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```bash
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# Configure with vcpkg
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cmake -B build -DCMAKE_TOOLCHAIN_FILE=$VCPKG_ROOT/scripts/buildsystems/vcpkg.cmake
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# Build
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cmake --build build -j$(nproc)
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```
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## Usage
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```bash
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cd build
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./SecondVoice
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```
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The application will:
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1. Open an ImGui window
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2. Start capturing audio from your microphone
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3. Display Chinese transcriptions and French translations in real-time
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4. Click **STOP RECORDING** button to finish
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5. Save the full audio recording to `recordings/recording_YYYYMMDD_HHMMSS.wav`
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## Architecture
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```
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Audio Capture (PortAudio)
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↓
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Whisper API (Speech-to-Text)
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↓
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Claude API (Translation)
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↓
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ImGui UI (Display)
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```
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### Threading Model
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- **Thread 1**: Audio capture (PortAudio callback)
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- **Thread 2**: AI processing (Whisper + Claude API calls)
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- **Thread 3**: UI rendering (ImGui + OpenGL)
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## Configuration
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### config.json
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```json
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{
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"audio": {
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"sample_rate": 16000,
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"channels": 1,
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"chunk_duration_seconds": 10
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},
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"whisper": {
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"model": "whisper-1",
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"language": "zh"
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},
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"claude": {
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"model": "claude-haiku-4-20250514",
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"max_tokens": 1024
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}
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}
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```
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### .env
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```env
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OPENAI_API_KEY=sk-...
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ANTHROPIC_API_KEY=sk-ant-...
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```
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## Cost Estimation
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- **Whisper**: ~$0.006/minute (~$0.36/hour)
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- **Claude Haiku**: ~$0.03-0.05/hour
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- **Total**: ~$0.40/hour of recording
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## Project Structure
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```
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secondvoice/
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├── src/
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│ ├── main.cpp # Entry point
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│ ├── audio/ # Audio capture & buffer
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│ ├── api/ # Whisper & Claude clients
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│ ├── ui/ # ImGui interface
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│ ├── utils/ # Config & thread-safe queue
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│ └── core/ # Pipeline orchestration
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├── docs/ # Documentation
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├── recordings/ # Output recordings
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├── config.json # Runtime configuration
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├── .env # API keys (not committed)
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└── CMakeLists.txt # Build configuration
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```
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## Development
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### Building in Debug Mode
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```bash
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cmake -B build -DCMAKE_BUILD_TYPE=Debug -DCMAKE_TOOLCHAIN_FILE=$VCPKG_ROOT/scripts/buildsystems/vcpkg.cmake
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cmake --build build
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```
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### Running Tests
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```bash
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# TODO: Add tests
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```
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## Troubleshooting
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### No audio capture
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- Check microphone permissions
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- Verify PortAudio is properly installed: `pa_devs` (if available)
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- Try different audio device in code
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### API errors
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- Verify API keys in `.env` are correct
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- Check internet connection
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- Monitor API rate limits
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### Build errors
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- Ensure vcpkg is properly set up
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- Check all system dependencies are installed
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- Try `cmake --build build --clean-first`
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## Roadmap
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### Phase 1 - MVP (Current)
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- ✅ Audio capture
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- ✅ Whisper integration
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- ✅ Claude integration
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- ✅ ImGui UI
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- ✅ Stop button
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### Phase 2 - Enhancement
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- ⬜ Auto-summary post-meeting
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- ⬜ Export transcripts
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- ⬜ Search functionality
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- ⬜ Speaker diarization
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- ⬜ Replay mode
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## License
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See LICENSE file.
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## Contributing
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This is a personal project, but suggestions and bug reports are welcome via issues.
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## Contact
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See docs/SecondVoice.md for project context and motivation.
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