silero-vad-lite 0.1.0

Description:

silerovadlite 0.1.0

Silero VAD Lite
ATTENTION: Not ready for public use yet.
Silero VAD Lite is a lightweight Python wrapper for the Silero Voice Activity Detection (VAD) model using ONNX Runtime. This package provides a simple interface to use the Silero VAD model without the need for the full ONNX Runtime Python package.
For more information, you can visit the original Silero VAD repository.
Installation
You can install Silero VAD Lite using pip:
pip install silero-vad-lite

Note: This package requires CMake and a C++ compiler to be installed on your system.
Usage
Here's a simple example of how to use Silero VAD Lite:
from silero_vad_lite import SileroVAD
import numpy as np

# Initialize the SileroVAD object with the path to your ONNX model
vad = SileroVAD("path/to/silero_vad.onnx")

# Generate some dummy audio data (replace this with your actual audio data)
sample_rate = 16000
duration = 1 # 1 second
t = np.linspace(0, duration, int(sample_rate * duration), False)
audio_data = np.sin(2 * np.pi * 440 * t).astype(np.float32)

# Process the audio data
result = vad.process(audio_data, sample_rate)

print(f"Voice activity detection result: {result}")

The process method returns a float value between 0 and 1, indicating the probability of voice activity in the given audio segment.
Building from Source
To build Silero VAD Lite from source:


Clone the repository:
git clone https://github.com/yourusername/silero-vad-lite.git
cd silero-vad-lite



Install the package in editable mode:
pip install -e .



This will compile the C++ extension and install the package.
Running Tests
To run the tests, first install pytest:
pip install pytest

Then, from the root directory of the project, run:
pytest

License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments

Silero Team for the original Silero VAD model
ONNX Runtime team for the C++ API

Contributing
Contributions are welcome! Please feel free to submit a Pull Request.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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