aaatmy/beat-this-onnx

AI model by aaatmy

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This repository distributes the FP32 ONNX export of the official Beat This! final0 model used by Key & Tempo. This is a conversion of the upstream pretrained model, not a newly trained model and not an official CPJKU release. It predicts beat and downbeat logits; BPM, time signature and MIDI tempo maps are derived by the application. The network consumes a log-mel spectrogram, not raw audio. Input spectrogram has shape [1, frames, 128]; outputs beat and downbeat have shape [1, frames]. The frontend uses 22,050 Hz mono audio, a 1,024-point FFT and a hop length of 441 samples. Use the accompanying frontend constants and the application preprocessing, chunking and postprocessing implementation for compatible results. See the export script and browser inference code. Hugging Face hosts the files only; the application performs inference in the user's browser and does not upload audio to Hugging Face. The…

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  1. Beat This! final0 — ONNX for Key & Tempo
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  4. Provenance and validation
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aaatmy/beat-this-onnx is a task-unspecified model repository published by aaatmy on Hugging Face. A library was not reported.

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License
mit
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Created
2026-09-17T06:07:55.000Z
Last modified
2026-09-17T06:08:04.000Z

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