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pat229988/silero-vad-16k-tflite
silero-vad-16k-tflite is a audio classification model from pat229988. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for litert. The card lists the license as mit.
This repository contains a 16 kHz Silero VAD model converted to TFLite/LiteRT for local streaming voice activity detection.
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.tflite1.3 MB · 100%
From the Hugging Face model README
This repository contains a 16 kHz Silero VAD model converted to TFLite/LiteRT for local streaming voice activity detection.
| File | Purpose |
|---|---|
silero_vad_16k.tflite | Runtime TFLite flatbuffer. |
silero_vad_16k.tflite.manifest.json | Conversion/runtime manifest. |
artifact_manifest.json | Clean upload metadata, checksum, and source lineage. |
The original Silero VAD weights were sourced from the upstream GitHub data folder provided here:
https://github.com/snakers4/silero-vad/tree/master/src/silero_vad/data
The local source artifact referenced during conversion was:
external/silero-vad/src/silero_vad/data/silero_vad_16k.safetensors
Because the source is a GitHub-hosted artifact rather than a Hugging Face model
repo, it is not listed in the Hugging Face base_model metadata field. The
upstream source link is included here and in artifact_manifest.json.
16000 Hz64 samples of left context + current 512 sample chunk
(576 total samples)[2, 1, 128][1, 1]0.5 (adjust per environment and application)