aaatmy/skey-onnx

AI model by aaatmy

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FP32 ONNX conversion of the pretrained Deezer S-KEY model, used by Key & Tempo to estimate a single global major or minor key from audio. This is a community conversion of the upstream checkpoint, not a newly trained model or an official Deezer release. Hugging Face hosts the files; the application runs inference locally and does not send audio to Hugging Face. Input audio is float32 mono PCM at 22,050 Hz, shape [1, samples]. Output scores has shape [1, 24]. Peak normalization, VQT/dB preprocessing, frequency cropping and ChromaNet are included in the graph. Scores already include the upstream softmax; do not apply softmax again. Use the exact label order in manifest.json: major classes start at A Major, minor classes start at B minor. G Major is index 10; A minor is index 22. Key & Tempo requires at least 3 seconds and rejects silent input before inference. This minimum is…

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Model overview

aaatmy/skey-onnx is a task-unspecified model repository published by aaatmy on Hugging Face. A library was not reported.

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Model facts

Task: Not reported
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: Not reported — check the model card
Access: Not gated by Hugging Face
Created: 2026-09-17T06:11:38.000Z
Last modified: 2026-09-17T06:11:42.000Z

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