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smart-turn-v3 – AI Model by 0x3 | AlphaNeural AI
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0x3
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smart-turn-v3
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onnx
speech-processing
semantic-vad
multilingual
voice-activity-detection
pipecat-ai/smart-turn-data-v3.1-train
pipecat-ai/smart-turn-data-v3.1-test
bsd-2-clause
us
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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:
Liva AI
Midcentury
MundoAI
