Silero-VAD-v5 — CoreML

CoreML conversion of Silero VAD v5 for Apple Neural Engine.

Model Details

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

Usage

let vad = try await SileroVADModel.fromPretrained(backend: .coreML)
let prob = vad.processChunk(samples)

Variants

Variant Backend Model ID
MLX GPU aufklarer/Silero-VAD-v5-MLX
CoreML Neural Engine aufklarer/Silero-VAD-v5-CoreML

Links



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