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smart-turn-v3
0x3/smart-turn-v3
smart-turn-v3 is a voice activity detection model from 0x3. Use it for the voice activity detection task on the model card, and read the license before you ship it in a product. The card lists the license as bsd-2-clause.
Smart Turn is an open‑source semantic Voice Activity Detection (VAD) model that tells you whether a speaker has finished their turn by analysing the raw waveform, not the transcript.
Access
Public
Updated May 23, 2026
Repo size
90.9 MB
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At a glance
- Task
- Voice Activity Detection
- License
- bsd-2-clause
- Access
- Public
- Created
- May 23, 2026
- Updated
- May 23, 2026
- SHA
- 3d3c21cc
Model card
From the Hugging Face model README
Smart Turn v3.x
Smart Turn is an open‑source semantic Voice Activity Detection (VAD) model that tells you whether a speaker has finished their turn by analysing the raw waveform, not the transcript.
Links
- Blog post: Smart Turn v3
- GitHub repo with training and inference code, and more information
- Datasets
Model architecture
- Backbone: Whisper Tiny encoder
- Head: shallow linear classifier
- Params: 8M
- Checkpoint: 8 MB ONNX (int8 quantized), 32MB ONNX (unquantized)
How to use
Please see the blog post and GitHub repo for more information on using the model, either standalone or with Pipecat.
Thanks
Thank you to the following organisations for contributing audio datasets:
- Task
- Voice Activity Detection
- License
- bsd-2-clause
- Created
- May 23, 2026
- Updated
- May 23, 2026