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 (float):14.2 MB
Applicable Scenarios
- Audio Recognition
License
Model:MIT
Tags
- real-time
Supported IoT Devices
- Dragonwing Q-6690 MTP
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8250 (Proxy)
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
- RB5 (Proxy)
Supported IoT Chipsets
- Qualcomm® Qcm6690
- Qualcomm® QCS6490
- Qualcomm® QCS8250 (Proxy)
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
Looking for more? See models created by industry leaders.
Discover Model Makers