Phase 1 (Speech Detection) is Now Live!

We're excited to announce that Phase 1 of the LibriBrain Competition is now live and accepting submissions.

What's Available Now

Starting today, participants can submit their solutions for the Speech Detection task in both:

• Standard Track: Using our own "LibriBrain" dataset
• Extended Track: Leverage any and all additional data sources

Key Details

• Submission Deadline: July 31st, 2025
• Evaluation Metric: F1 Macro Score - the unweighted mean of F1 scores across both classes: {{< math >}}\text{F1}{\text{macro}} = \frac{\text{F1}{\text{speech}} + \text{F1}_{\text{non-speech}}}{2}{{< /math >}}
• Leaderboard: Competition updates available on our [leaderboard page]({{< ref "leaderboard" >}})
• Starter Kit: Get up and running in under an hour with our [tutorials]({{< ref "participate" >}})

Getting Started

1. Install the PNPL package: pip install pnpl
2. Download the dataset automatically with the PNPL package: Follow our [participation guide]({{< ref "participate" >}})
3. Train your first mode using our tutorials: Use our provided notebooks - or build something on your own
4. Submit your results: Upload via our submission portal on Eval.ai

Dataset Features

This competition features the deepest MEG dataset to date - 5–50× deeper than most existing datasets in the field. This unprecedented depth enables researchers to explore neural patterns of speech processing at a level of detail not previously possible. This year, we've taken care of all preprocessing and provide simple Pytorch dataloaders.

Questions?

Join our Discord community for real-time support and discussions with fellow participants and organizers.

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Good luck to all participants. We look forward to seeing the innovative approaches you'll develop.