MODEL PROFILE

beat-this-onnx

musetric · beat-this-onnx

ONNX export of **Beat This!**, the JKU beat/downbeat tracker (checkpoint `final0`), packaged for the [`musetric`][musetric] `packages/ai` runtime on `onnxruntime-web`'s **WebGPU** execution provider. Feature extraction is the host's job, and `mel-filterbank.bin` is what it needs to do it: the host computes the log-mel spectrogram on the GPU (STFT + this filterbank + `log1p`) and feeds windows straight into the graph as GPU buffers, never round-tripping features through the CPU. **Feed one 1500-frame window per call** — the author's window, 30 s of audio. Longer tracks are covered by overlapping windows in the host (`chunkSize` 1500, `borderSize` 6). Batching every window into a single call materializes a huge time-attention tensor; one window per call is why the graph takes a window axis at all. Short clips must be padded to 1500 frames.

Audio processinglicense:mit
Context windowNot disclosed
Input → Output音频 → 待核验
Model weightsNot verified
Profile updated2026/11/2 19:15:31
OVERVIEW

Model overview

ONNX export of **Beat This!**, the JKU beat/downbeat tracker (checkpoint `final0`), packaged for the [`musetric`][musetric] `packages/ai` runtime on `onnxruntime-web`'s **WebGPU** execution provider. Feature extraction is the host's job, and `mel-filterbank.bin` is what it needs to do it: the host computes the log-mel spectrogram on the GPU (STFT + this filterbank + `log1p`) and feeds windows straight into the graph as GPU buffers, never round-tripping features through the CPU. **Feed one 1500-frame window per call** — the author's window, 30 s of audio. Longer tracks are covered by overlapping windows in the host (`chunkSize` 1500, `borderSize` 6). Batching every window into a single call materializes a huge time-attention tensor; one window per call is why the graph takes a window axis at all. Short clips must be padded to 1500 frames.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

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Sources & traceability

许可证:mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。