Silero VAD v6.2.1 MLX

MLX port of snakers4/silero-vad tag v6.2.1 for voice activity detection on Apple Silicon.

Model

Field	Value
Parameters	309,121
Quantization	none, Float32 weights
Format	MLX safetensors
Sample rate	16 kHz
Chunk size	512 samples, 32 ms
Context	64 samples
Upstream	`snakers4/silero-vad:v6.2.1`

Files

File	Size	Description
`model.safetensors`	1.2 MB	MLX weights
`config.json`	456 B	Model metadata and runtime shape config
`README.md`	-	Model card

Performance

Measured with speech-swift release tests on Apple Silicon using a 20 s 16 kHz speech fixture, 625 streaming chunks.

Backend	Segment	Latency per chunk	RTF
Silero v6.2.1 MLX	5.184s-8.416s	0.4999 ms	0.01562
Silero v6.2.1 CoreML	5.184s-8.416s	0.0630 ms	0.00197

Parity against the matching CoreML v6.2.1 export:

Metric	Value
Max probability diff	0.060569
Average probability diff	0.001673

The exported safetensors were also checked tensor-by-tensor against the upstream v6.2.1 JIT state dict after conversion; the maximum absolute tensor difference was 0.

Usage

Swift SDK

import SpeechVAD

let vad = try await SileroVADModel.fromPretrained(engine: .mlx)
let segments = vad.detectSpeech(audio: samples, sampleRate: 16000)

CLI

speech vad input.wav

Source

Converted from snakers4/silero-vad tag v6.2.1. The upstream project is MIT licensed.

aufklarer/Silero-VAD-v6.2.1-MLX