Difference between revisions of "2025:Call for Challenges"
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==Call for Challenge Proposals== | ==Call for Challenge Proposals== | ||
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| + | ** This page is still WIP. We will send an annoucement when it is finalized. ** | ||
Starting with MIREX 2024, we invite the ISMIR community to propose new research challenges that address cutting-edge problems in Music Information Retrieval (MIR). These challenges should aim to push the boundaries of current research and foster innovation in the field. | Starting with MIREX 2024, we invite the ISMIR community to propose new research challenges that address cutting-edge problems in Music Information Retrieval (MIR). These challenges should aim to push the boundaries of current research and foster innovation in the field. | ||
| − | ===What's new | + | ===What's new=== |
| − | + | * We will accept more proposals compared to MIREX 2024. | |
| + | * All proposed challenges must have an assigned task captain (name+email included). | ||
Task Captain Responsibilities: | Task Captain Responsibilities: | ||
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* Report results to MIREX and create a results page on the MIREX Wiki. | * Report results to MIREX and create a results page on the MIREX Wiki. | ||
* (Optional) Present a MIREX task captain poster at the Late-Breaking and Demo (LBD) session at ISMIR 2025. | * (Optional) Present a MIREX task captain poster at the Late-Breaking and Demo (LBD) session at ISMIR 2025. | ||
| + | |||
| + | Hints for Challenge Proposals: | ||
| + | |||
| + | * To invite research groups without access to large datasets or extensive computational resources, you are encouraged to create multiple subtasks that impose different restrictions on model size and dataset usage. Example: | ||
| + | Subtask 1: Model size < 200M. Training set: MusDB18 only. | ||
| + | Subtask 2: Unlimited model size, Training set: any. | ||
| + | * Task captains may use proprietary datasets for evaluation. | ||
==Submission Format== | ==Submission Format== | ||
Revision as of 12:35, 10 March 2025
Call for Challenge Proposals
- This page is still WIP. We will send an annoucement when it is finalized. **
Starting with MIREX 2024, we invite the ISMIR community to propose new research challenges that address cutting-edge problems in Music Information Retrieval (MIR). These challenges should aim to push the boundaries of current research and foster innovation in the field.
What's new
- We will accept more proposals compared to MIREX 2024.
- All proposed challenges must have an assigned task captain (name+email included).
Task Captain Responsibilities:
- Register on the MIREX Wiki and maintain a task description page.
- Collect submissions via the MIREX submission server (or provide customized submission instructions).
- Execute and evaluate the submissions.
- Report results to MIREX and create a results page on the MIREX Wiki.
- (Optional) Present a MIREX task captain poster at the Late-Breaking and Demo (LBD) session at ISMIR 2025.
Hints for Challenge Proposals:
- To invite research groups without access to large datasets or extensive computational resources, you are encouraged to create multiple subtasks that impose different restrictions on model size and dataset usage. Example:
Subtask 1: Model size < 200M. Training set: MusDB18 only. Subtask 2: Unlimited model size, Training set: any.
- Task captains may use proprietary datasets for evaluation.
Submission Format
A call for challenge proposal must contain the following content:
- Title
- Abstract
- Task description
- Significance of the task
- Evaluation criteria
- Datasets and resources provided
- Requirements for submission
Please submit a 2-4 page PDF to the MIREX organizing committee future-mirex@googlegroups.com. before the due date.
Deadlines
- Challenge proposals due: TBA
- Notification of acceptance: TBA
Contact Us
We look forward to receiving your innovative and impactful challenge proposals. If you have any questions, please do not hesitate to contact the MIREX organizing committee future-mirex@googlegroups.com.
MIREX 2025 Organizers:
- Junyan Jiang, New York University
- Akira Maezawa, Yamaha
- Ziyu Wang, New York University
- Yixiao Zhang, ByteDance
- Ruibin Yuan, Hong Kong University of Science and Technology
- J. Stephen Downie, University of Illinois
- Gus Xia, MBZUAI
