YamNet
Audio Event classification Model.
An audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology employing the Mobilenet_v1 depthwise‑separable convolution architecture.
Technical Details
Model checkpoint:yamnet.pth
Input resolution:1x1x96x64
Number of parameters:3.73M
Model size:14.2 MB
Applicable Scenarios
- Audio Recognition
Licenses
Source Model:MIT
Deployable Model:AI Model Hub License
Tags
- real-time
Supported Automotive Devices
- SA7255P ADP
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P
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