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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.

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This model is currently not supported on any IoT chipset.

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Technical Details

Input resolution:1x1x96x64
Model checkpoint:yamnet.pth
Model size (float):14.2 MB
Number of parameters:3.73M

Applicable Scenarios

  • Audio Recognition

License

Model:MIT

Tags

  • real-time

Supported IoT Devices

  • Dragonwing IQ-8275 EVK
  • Dragonwing IQ-9075 EVK
  • Dragonwing IQ-X5121
  • Dragonwing IQ-X7181
  • Dragonwing Q-6690 MTP
  • Dragonwing Q-7790
  • Dragonwing Q-8750
  • Dragonwing RB3 Gen 2 Vision Kit
  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® Dragonwing™ Q-6690
  • Qualcomm® Dragonwing™ QCS6490
  • Qualcomm® Dragonwing™ IQ-X7181
  • Qualcomm® Dragonwing™ Q-7790
  • Qualcomm® Dragonwing™ QCS8275
  • Qualcomm® Dragonwing™ QCS8550 (Proxy)
  • Qualcomm® Dragonwing™ Q-8750
  • Qualcomm® Dragonwing™ IQ-9075

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