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qualcomm/YamNet

Audio Classification·qualcomm· 398· 7
pytorch other Audio Classification arxiv:1704.04861license:otherregion:us

An audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology employing the Mobilenetv1 depthwise-separable convolution architecture.

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Model details

Task
Audio Classification
Provider
qualcomm
Framework
pytorch
Size
681 MB
License
other
Downloads
398
Likes
7
Paper
arXiv:1704.04861
Updated
2026-06-16

About qualcomm/YamNet

An audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology employing the Mobilenetv1 depthwise-separable convolution architecture.

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