Add initial model card

README.md

@@ -1,3 +1,34 @@
----
-license: bsd-2-clause
----
+---
+pipeline_tag: voice-activity-detection
+license: bsd-2-clause
+tags:
+  - speech-processing
+  - semantic-vad
+  - multilingual
+datasets:
+  - pipecat-ai/smart-turn-data-v3-train
+  - pipecat-ai/smart-turn-data-v3-test
+---
+
+# Smart Turn v3
+
+**Smart Turn v3** 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](https://www.daily.co/blog/)
+* [GitHub repo](https://github.com/pipecat-ai/smart-turn) with training and inference code
+* [Datasets](https://github.com/pipecat-ai/datasets) with training and inference code
+
+
+## Model architecture
+
+* Backbone : Whisper Tiny encoder  
+* Head     : shallow linear classifier  
+* Params   : 8 M (int8)
+* Checkpoint: 8 MB ONNX  
+
+
+## How to use
+
+Please see the blog post and GitHub repo for more information on using the model, either standalone or with Pipecat.