Instructions to use srishtih/audio-courtsider-web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use srishtih/audio-courtsider-web with Transformers.js:
// ⚠️ Unknown pipeline tag
Audio Courtsider: in-browser models
Weights for the in-browser Live mode of Audio Courtsider (demo), which listens to soccer commentary and flags goals, penalties and red cards before the official data feed.
| file | what |
|---|---|
text/model.onnx |
DistilRoBERTa event model (fp16): P(goal, shot, corner, yellow, red, penalty, offside, substitution) + which team, from a line of commentary with two lines of context |
audio/model.onnx |
causal temporal CNN over 64-band log-mel: P(goal in the last few seconds) from crowd + commentator sound |
audio/mel.bin |
the log-mel filterbank (librosa, 16 kHz, n_fft 1024, 64 bands, fmax 8 kHz) |
meta.json |
labels, thresholds, the audio calibrator curve and a feature self-test |
Training data: SoccerNet action-spotting labels and SoccerNet-Echoes commentary (CC BY 4.0), ESPN 2025/26 play-by-play text, and (audio model) SoccerNet broadcast audio used under the SoccerNet NDA. For research and demonstration; not for betting.
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