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| Detail | Value |
|---|---|
| Architecture | STFT → Conv1d encoder → LSTM → decoder |
| Parameters | ~309K |
| Input | 512 samples (32ms @ 16kHz) |
| Output | Speech probability (0.0–1.0) |
| Size | ~4.2 MB |
1let vad = try await SileroVADModel.fromPretrained(backend: .coreML)
2let prob = vad.processChunk(samples)| Variant | Backend | Model ID |
|---|---|---|
| MLX | GPU | aufklarer/Silero-VAD-v5-MLX |
| CoreML | Neural Engine | aufklarer/Silero-VAD-v5-CoreML |