README.md

---
library_name: onnx
tags:
  - silero
  - voice-activity-detection
  - vad
  - audio
  - onnx
  - inference4j
license: mit
pipeline_tag: voice-activity-detection
---

# Silero VAD — ONNX

ONNX export of [Silero VAD](https://github.com/snakers4/silero-vad), a lightweight and fast voice activity detection model. Detects speech segments in audio with high accuracy and low latency.

Mirrored for use with [inference4j](https://github.com/inference4j/inference4j), an inference-only AI library for Java.

## Original Source

- **Repository:** [Silero Team (snakers4)](https://github.com/snakers4/silero-vad)
- **License:** mit

## Usage with inference4j

```java
try (SileroVAD vad = SileroVAD.fromPretrained("models/silero-vad")) {
    List<VoiceSegment> segments = vad.detect(Path.of("meeting.wav"));
    for (VoiceSegment segment : segments) {
        System.out.printf("Speech: %.2fs - %.2fs%n", segment.start(), segment.end());
    }
}
```

## Model Details

| Property | Value |
|----------|-------|
| Architecture | Silero VAD (lightweight CNN + LSTM) |
| Task | Voice activity detection |
| Input | 16kHz mono audio (float32 waveform, 512-sample chunks) |
| Output | Speech probability per chunk |
| Model size | ~2 MB |
| Original source | [snakers4/silero-vad](https://github.com/snakers4/silero-vad) |

## License

This model is licensed under the [MIT License](https://opensource.org/licenses/MIT). Original model by [Silero Team](https://github.com/snakers4/silero-vad).