---
license: mit
language:
  - multilingual
tags:
  - voice-activity-detection
  - vad
  - speech
  - litert
  - tflite
  - on-device
  - soniqo
  - speech-cloud
  - speech-core
base_model: snakers4/silero-vad
library_name: litert
pipeline_tag: voice-activity-detection
---

# Silero VAD v5 — LiteRT

Lightweight on-device voice activity detection. 16 kHz, 32 ms chunks, explicit LSTM state I/O.

> Part of the [**soniqo.audio**](https://soniqo.audio) speech toolkit —
> an open, runtime-portable stack for speech AI. This bundle is the
> **LiteRT** export, designed to plug into the abstract interfaces in
> [`speech-core`](https://github.com/soniqo/speech-core) (C++ voice-agent
> orchestration library). Browse all LiteRT bundles in the
> [**soniqo LiteRT collection**](https://huggingface.co/collections/soniqo/litert-6a08268e11d5a47d7aacc02b).

## Use cases on soniqo.audio

- [Live transcription](https://soniqo.audio/transcription/)
- [Voice agents](https://soniqo.audio/voice-agents/)

On-device voice activity detection for Android. 16 kHz, 512-sample chunks
with explicit LSTM state I/O so the caller owns state across frames.

## Model

| Property | Value |
|---|---|
| Architecture | STFT Conv1d + 4-layer Conv1d encoder + LSTMCell + 1×1 classifier |
| Parameters | ~0.4 M |
| Format | LiteRT (TFLite) |
| Quantization | float32 |
| Sample rate | 16 000 Hz |
| Chunk size | 512 samples (32 ms) |
| Context | 64 samples prepended by caller each frame |

## Files

| File | Size | Description |
|---|---|---|
| `silero-vad.tflite` | 1.26 MB | Full model, FP32 |
| `config.json` | 1 KB | I/O signature |

## Signature

```
Inputs:
  audio        [1, 576]      float32   64 samples of context + 512 sample chunk
  state        [2, 1, 128]   float32   (h, c) stacked

Outputs:
  probability  [1, 1]        float32   voice probability [0, 1]
  state_out    [2, 1, 128]   float32   next-frame LSTM state
```

## Parity

Re-implemented as a pure `nn.Module` loading weights directly from the
upstream JIT checkpoint. Verified bit-exact output against the upstream
Silero VAD JIT on random inputs (`max diff = 0.0`).

## Usage

```kotlin
val vad = Interpreter(loadModelFile("silero-vad.tflite"))

var state = FloatArray(2 * 1 * 128) // zeros on first call
var context = FloatArray(64)        // zeros on first call

fun classify(chunk512: FloatArray): Float {
    val audio = context + chunk512                 // 576 samples
    val inputs = mapOf(0 to audio.toDirectBuffer(), 1 to state.toDirectBuffer())
    val outputs = mapOf(0 to prob, 1 to nextState)
    vad.runSignature(inputs, outputs)
    context = chunk512.copyOfRange(448, 512)       // last 64 samples
    state = nextState
    return prob[0]
}
```

## Source

Upstream: [snakers4/silero-vad](https://github.com/snakers4/silero-vad) (MIT).

## Links

- [speech-android](https://github.com/soniqo/speech-android) — Android SDK
- [soniqo.audio](https://soniqo.audio) — website
- [blog](https://soniqo.audio/blog) — blog

## Ecosystem

- [**soniqo.audio**](https://soniqo.audio) — use-case explorer (transcription, voice cloning, live ASR, voice agents).
- [**speech-core**](https://github.com/soniqo/speech-core) — C++ orchestration library for voice agents. Abstract `STTInterface` / `TTSInterface` / `VADInterface` / `EnhancerInterface`; LiteRT implementations plug straight into the interfaces.
- [**speech-swift**](https://github.com/soniqo/speech-swift) — Apple Silicon MLX companion runtime (model-specific MLX bundles linked above where applicable).
- [**speech-android**](https://github.com/soniqo/speech-android) — Android SDK consuming on-device LiteRT bundles.

## Other LiteRT models in this collection

**ASR / Transcription**

- [Parakeet TDT 0.6B v3 — LiteRT (INT8)](https://huggingface.co/soniqo/Parakeet-TDT-0.6B-v3-LiteRT-INT8)
- [Nemotron Speech Streaming 0.6B — LiteRT](https://huggingface.co/soniqo/Nemotron-Speech-Streaming-LiteRT)
- [Omnilingual ASR CTC 300M — LiteRT](https://huggingface.co/soniqo/Omnilingual-ASR-CTC-300M-LiteRT)
- [Omnilingual ASR CTC 300M — LiteRT (INT8)](https://huggingface.co/soniqo/Omnilingual-ASR-CTC-300M-LiteRT-INT8)
- [Qwen3 ASR 0.6B Encoder — LiteRT (INT8)](https://huggingface.co/soniqo/Qwen3-ASR-0.6B-Encoder-LiteRT-INT8)

**VAD / Diarization**

- [Pyannote Segmentation 3.0 — LiteRT](https://huggingface.co/soniqo/Pyannote-Segmentation-LiteRT)
- [WeSpeaker ResNet34-LM — LiteRT](https://huggingface.co/soniqo/WeSpeaker-ResNet34-LM-LiteRT)

**TTS / Voice Cloning**

- [VoxCPM2 — LiteRT (INT8)](https://huggingface.co/soniqo/VoxCPM2-LiteRT-INT8)

## License

This bundle inherits the upstream model license (**mit**). See the
linked `base_model` repository for the full terms.