Upload silero-vad ONNX model

README.md

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+---
+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).

model.onnx

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