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 IoT Devices
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
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