Silero Vad Coreml

--- license: mit tags: - audio - voice-activity-detection - coreml - silero - speech - ios - macos - swift library_name: coreml pipeline_tag: voice-activity-detection datasets: - alexwengg/musan_mini50 - alexwengg/musan_mini100 metrics: - accuracy - f1 language: - en base_model: - onnx-community/silero-vad --- # ** 🧃 CoreML Silero VAD ** [](https://discord.gg/WNsvaCtmDe) [](https://github.com/FluidInference/FluidAudio) 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](https://github.com/snakers4/silero-vad) This is how the model performs against the silero-vad v6.0.0 basline Pytorch JIT version   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  Conversion code is available here: [FluidInference/mobius](https://github.com/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} } - GitHub: https://github.com/FluidAudio/FluidAudioSwift