silero-vad-lite 0.1.0

Lightweight wrapper for Silero VAD using internal ONNX Runtime and with no python package dependencies

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:

1. Clone the repository:

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

2. 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.