* fix: implement microphone reconnection and audio buffer limits for reliability - Add microphone reconnection logic with exponential backoff - Implement audio buffer limits to prevent memory issues - Add configurable buffer size limits with clamping - Improve error handling for audio device failures - Add buffer statistics and monitoring capabilities - Graceful stream cleanup and resource management Resolves #92 Changes made: - Added _max_buffer_size, _reconnection_attempts, _max_reconnection_attempts attributes - Implemented _attempt_audio_reconnection() method with exponential backoff - Enhanced _record_audio() method with buffer limit checking and reconnection - Added set_buffer_limit() and get_buffer_stats() methods - Improved error handling for IOError/OSError during audio recording - Added test scripts to validate reliability improvements The implementation prevents memory issues by limiting audio buffer size and automatically reconnecting to audio devices when they fail, with proper exponential backoff to prevent rapid reconnection attempts. * fix: Address code review feedback for PR #109 - Add thread lock (_buffer_lock) for audio_buffer to prevent race conditions - Fix _last_audio_error_time reset in cleanup - Protect buffer access in stop_recognition and get_buffer_stats with lock - Fix test_max_reconnection_attempts to match actual counter behavior Addresses review feedback for microphone reconnection and audio buffer limits * style: fix lint errors * fix: add missing sys import in audio_feedback.py - Add sys import required by _is_ci_mode() function - Remove temporary test_reliability scripts * style: fix black formatting --------- Co-authored-by: OpenClaw Reviewer <review@openclaw.ai>
Vocalinux
Voice-to-text for Linux, finally done right!
A seamless free open-source private voice dictation system for Linux, comparable to the built-in solutions on macOS and Windows.
🎉 Alpha Release!
We're excited to share Vocalinux with the community. Try it out and let us know what you think!
✨ Features
- 🎤 Double-tap Ctrl to start/stop voice dictation
- ⚡ Real-time transcription with minimal latency
- 🌎 Universal compatibility across all Linux applications
- 🔒 Offline operation for privacy and reliability (with VOSK)
- 🤖 Optional Whisper AI support for enhanced accuracy
- 🎨 System tray integration with visual status indicators
- 🔊 Audio feedback for recording status
- ⚙️ Graphical settings dialog for easy configuration
🚀 Quick Install
Interactive Install (Recommended for New Users)
Let the installer guide you through the setup with smart hardware detection:
curl -fsSL https://raw.githubusercontent.com/jatinkrmalik/vocalinux/main/install.sh | bash -s -- --tag=v0.4.1-alpha --interactive
The interactive installer will:
- Auto-detect your hardware (GPU, RAM)
- Recommend the best configuration for your system
- Guide you through each step with clear explanations
- Show you how to launch and use Vocalinux after installation
One-liner Installation (Quick Install)
curl -fsSL https://raw.githubusercontent.com/jatinkrmalik/vocalinux/main/install.sh | bash -s -- --tag=v0.4.1-alpha
Note
: Installs v0.4.1-alpha. For the most recent version, check GitHub Releases.
GPU Detection: The installer now automatically detects NVIDIA GPUs and uses CPU-only PyTorch when no GPU is present, saving you ~2GB of download!
This will:
- Clone the repository to
~/.local/share/vocalinux-install - Install all system dependencies
- Set up a virtual environment in
~/.local/share/vocalinux/venv - Install both VOSK and Whisper AI speech engines:
- VOSK: installs the
voskPython package from PyPI - Whisper: installs the
openai-whisperpackage from PyPI, which also pulls in PyTorch (the ML framework Whisper requires)
- VOSK: installs the
- Create a symlink at
~/.local/bin/vocalinux - Download the default Whisper tiny speech model (~75MB)
⏱️ Note: Installation takes ~5-10 minutes due to Whisper AI dependencies (PyTorch with CUDA support, ~2.3GB).
Whisper with CPU-only PyTorch (no NVIDIA GPU needed):
curl -fsSL https://raw.githubusercontent.com/jatinkrmalik/vocalinux/main/install.sh | bash -s -- --tag=v0.4.1-alpha --whisper-cpu
This installs Whisper with CPU-only PyTorch (~200MB instead of ~2.3GB). Works great for systems without NVIDIA GPU.
For low-RAM systems (8GB or less) - VOSK only:
curl -fsSL https://raw.githubusercontent.com/jatinkrmalik/vocalinux/main/install.sh | bash -s -- --tag=v0.4.1-alpha --no-whisper
This skips Whisper installation entirely and configures VOSK as the default engine.
Alternative: Install from Source
# Clone the repository
git clone https://github.com/jatinkrmalik/vocalinux.git
cd vocalinux
# Run the installer (will prompt for Whisper)
./install.sh
# Or with Whisper support
./install.sh --with-whisper
The installer handles everything: system dependencies, Python environment, speech models, and desktop integration.
After Installation
# If ~/.local/bin is in your PATH (recommended):
vocalinux
# Or activate the virtual environment first:
source ~/.local/bin/activate-vocalinux.sh
vocalinux
# Or run directly:
~/.local/share/vocalinux/venv/bin/vocalinux
Or launch it from your application menu!
Uninstall
# If installed via curl:
curl -fsSL https://raw.githubusercontent.com/jatinkrmalik/vocalinux/main/uninstall.sh | bash
# If installed from source:
./uninstall.sh
📋 Requirements
- OS: Ubuntu 22.04+ (other Linux distros may work)
- Python: 3.8 or newer
- Display: X11 or Wayland
- Hardware: Microphone for voice input
🎙️ Usage
Voice Dictation
- Double-tap Ctrl to start recording
- Speak clearly into your microphone
- Double-tap Ctrl again (or pause speaking) to stop
Voice Commands
| Command | Action |
|---|---|
| "new line" | Inserts a line break |
| "period" / "full stop" | Types a period (.) |
| "comma" | Types a comma (,) |
| "question mark" | Types a question mark (?) |
| "exclamation mark" | Types an exclamation mark (!) |
| "delete that" | Deletes the last sentence |
| "capitalize" | Capitalizes the next word |
Command Line Options
vocalinux --help # Show all options
vocalinux --debug # Enable debug logging
vocalinux --engine whisper # Use Whisper AI engine
vocalinux --model medium # Use medium-sized model
vocalinux --wayland # Force Wayland mode
⚙️ Configuration
Configuration is stored in ~/.config/vocalinux/config.json:
{
"speech_recognition": {
"engine": "vosk",
"model_size": "small",
"vad_sensitivity": 3,
"silence_timeout": 2.0
}
}
You can also configure settings through the graphical Settings dialog (right-click the tray icon).
🔧 Development Setup
# Clone and install in dev mode
git clone https://github.com/jatinkrmalik/vocalinux.git
cd vocalinux
./install.sh --dev
# Activate environment
source venv/bin/activate
# Run tests
pytest
# Run from source with debug
python -m vocalinux.main --debug
📁 Project Structure
vocalinux/
├── src/vocalinux/ # Main application code
│ ├── speech_recognition/ # Speech recognition engines
│ ├── text_injection/ # Text injection (X11/Wayland)
│ ├── ui/ # GTK UI components
│ └── utils/ # Utility functions
├── tests/ # Test suite
├── resources/ # Icons and sounds
├── docs/ # Documentation
└── web/ # Website source
📖 Documentation
- Installation Guide - Detailed installation instructions
- Update Guide - How to update Vocalinux
- User Guide - Complete user documentation
- Contributing - Development setup and contribution guidelines
🗺️ Roadmap
Custom icon design✅Graphical settings dialog✅Whisper AI support✅Multi-language support (FR, DE, RU)✅- In-app update mechanism
- Application-specific commands
- Debian/Ubuntu package (.deb)
- Improved Wayland support
- Voice command customization
🤝 Contributing
We welcome contributions! Whether it's bug reports, feature requests, or code contributions, please check out our Contributing Guide.
Quick Links
⭐ Support
If you find Vocalinux useful, please consider:
- ⭐ Starring this repository
- 🐛 Reporting bugs you encounter
- 📖 Improving documentation
- 🔀 Contributing code
📜 License
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.
Made with ❤️ for the Linux community