# Silero VAD Lite
[](https://pypi.python.org/pypi/silero-vad-lite/)
[](https://pypi.python.org/pypi/silero-vad-lite/)
[](https://pypi.python.org/pypi/silero-vad-lite/)
<!-- [](https://pypi.python.org/pypi/silero-vad-lite/) -->
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Silero VAD Lite is a **lightweight Python wrapper** for the high-quality [Silero Voice Activity Detection (VAD)](https://github.com/snakers4/silero-vad) model using ONNX Runtime.
- **Simple interface** to use Silero VAD in Python, supporting **streaming audio** processing
- **Binary wheels** for **Windows, Linux, and MacOS** for easy installation
- **Zero dependencies** for the installable package, because it includes internally:
- The Silero VAD model in ONNX format, so you don't need to supply it separately
- The C++ ONNX Runtime (CPU), so the Python package for ONNX Runtime is not required
## Installation
You can install Silero VAD Lite using pip:
```
python -m pip install silero-vad-lite
```
This should install the package from the provided binary wheels, which are highly recommended. Installing from source is somewhat brittle and requires a C++ compiler.
## Usage
Here's a simple example of how to use Silero VAD Lite:
```python
from silero_vad_lite import SileroVAD
vad = SileroVAD(16000) # sample_rate = 16000 Hz
speech_probability = vad.process(audio_data)
print(f"Voice activity detection probability of speech: {speech_probability}") # 0 <= speech_probability <= 1
```
Requirements:
- Sample rate must be either 8000 Hz or 16000 Hz.
- Audio data must be 32-bit float PCM samples, normalized to the range [-1, 1], mono channel.
- Audio data must be supplied with length of 32ms (512 samples for 16kHz, 256 samples for 8kHz).
- Audio data can be supplied as: `bytes`, `bytearray`, `memoryview`, `array.array`, or `ctypes.Array`.
See docstrings in the code for more details.
## License
This project is licensed under the MIT License: see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- [Silero Team](https://github.com/snakers4/silero-vad) for the original Silero VAD model
- Microsoft for the [ONNX Runtime](https://github.com/microsoft/onnxruntime)
## Contributing
To build Silero VAD Lite from source:
1. Clone the repository:
```
git clone https://github.com/daanzu/py-silero-vad-lite.git
cd silero-vad-lite
```
2. Install the package (editable mode likely won't work):
```
pip install .[dev]
```
This will compile the C++ extension and install the package, including the development dependencies for testing, which can be run with:
```
python -m pytest
```
Contributions are welcome! Please feel free to submit a Pull Request.
Raw data
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"description": "\n# Silero VAD Lite\n\n[](https://pypi.python.org/pypi/silero-vad-lite/)\n[](https://pypi.python.org/pypi/silero-vad-lite/)\n[](https://pypi.python.org/pypi/silero-vad-lite/)\n<!-- [](https://pypi.python.org/pypi/silero-vad-lite/) -->\n[](https://github.com/daanzu/py-silero-vad-lite/actions/workflows/build_and_publish.yml)\n[](https://paypal.me/daanzu)\n[](https://github.com/sponsors/daanzu)\n\nSilero VAD Lite is a **lightweight Python wrapper** for the high-quality [Silero Voice Activity Detection (VAD)](https://github.com/snakers4/silero-vad) model using ONNX Runtime.\n\n- **Simple interface** to use Silero VAD in Python, supporting **streaming audio** processing\n- **Binary wheels** for **Windows, Linux, and MacOS** for easy installation\n- **Zero dependencies** for the installable package, because it includes internally:\n - The Silero VAD model in ONNX format, so you don't need to supply it separately\n - The C++ ONNX Runtime (CPU), so the Python package for ONNX Runtime is not required\n\n## Installation\n\nYou can install Silero VAD Lite using pip:\n\n```\npython -m pip install silero-vad-lite\n```\n\nThis should install the package from the provided binary wheels, which are highly recommended. Installing from source is somewhat brittle and requires a C++ compiler.\n\n## Usage\n\nHere's a simple example of how to use Silero VAD Lite:\n\n```python\nfrom silero_vad_lite import SileroVAD\nvad = SileroVAD(16000) # sample_rate = 16000 Hz\nspeech_probability = vad.process(audio_data)\nprint(f\"Voice activity detection probability of speech: {speech_probability}\") # 0 <= speech_probability <= 1\n```\n\nRequirements:\n- Sample rate must be either 8000 Hz or 16000 Hz.\n- Audio data must be 32-bit float PCM samples, normalized to the range [-1, 1], mono channel.\n- Audio data must be supplied with length of 32ms (512 samples for 16kHz, 256 samples for 8kHz).\n- Audio data can be supplied as: `bytes`, `bytearray`, `memoryview`, `array.array`, or `ctypes.Array`.\n\nSee docstrings in the code for more details.\n\n## License\n\nThis project is licensed under the MIT License: see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n\n- [Silero Team](https://github.com/snakers4/silero-vad) for the original Silero VAD model\n- Microsoft for the [ONNX Runtime](https://github.com/microsoft/onnxruntime)\n\n## Contributing\n\nTo build Silero VAD Lite from source:\n\n1. Clone the repository:\n ```\n git clone https://github.com/daanzu/py-silero-vad-lite.git\n cd silero-vad-lite\n ```\n\n2. Install the package (editable mode likely won't work):\n ```\n pip install .[dev]\n ```\n\nThis will compile the C++ extension and install the package, including the development dependencies for testing, which can be run with:\n\n```\npython -m pytest\n```\n\nContributions are welcome! Please feel free to submit a Pull Request.\n",
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