aoiandroid / mirror-FluidInference-silero-vad-coreml

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Model's Last Updated: May 18 2026
voice-activity-detection

Introduction of mirror-FluidInference-silero-vad-coreml

Model Details of mirror-FluidInference-silero-vad-coreml

🧃 CoreML Silero VAD

Discord GitHub Repo stars

A CoreML implementation of the Silero Voice Activity Detection (VAD) model, optimized for Apple platforms (iOS/macOS). This repository contains pre-converted CoreML models ready for use in Swift applications.

See FluidAudio Repo link at the top for more information

Model Description

Developed by: Silero Team (original), converted by FluidAudio

Model type: Voice Activity Detection

License: MIT

Parent Model: silero-vad

This is how the model performs against the silero-vad v6.0.0 basline Pytorch JIT version

graphs/yc_standard_comparison_20250915_205721_2c04b81.png graphs/yc_256ms_comparison_20250915_205721_2c04b81.png

Note that we tested the quantized versions, as the model is already tiny, theres no performance imporvement at all.

This is how the different models compare in terms of speed, the 256s takes in 8 chunks of 32ms and processes it in batches so its much faster graphs/yc_performance_20250915_205721_2c04b81.png

Conversion code is available here: FluidInference/mobius

Intended Use
Primary Use Cases
  • Real-time voice activity detection in iOS/macOS applications
  • Speech preprocessing for ASR systems
  • Audio segmentation and filtering
How to Use

Citation

@misc{silero-vad-coreml, title={CoreML Silero VAD}, author={FluidAudio Team}, year={2024},

url={ https://huggingface.co/alexwengg/coreml-silero-vad} }

@misc{silero-vad, title={Silero VAD}, author={Silero Team}, year={2021}, url={ https://github.com/snakers4/silero-vad} }

Runs of aoiandroid mirror-FluidInference-silero-vad-coreml on huggingface.co

13
Total runs
1
24-hour runs
1
3-day runs
5
7-day runs
26
30-day runs

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