Difference between revisions of "MIREX HOME"

From MIREX Wiki
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In a long run, we want to make MIREX a platform for researchers to share their latest research results, to compare their systems with others, and to promote the development of the field.
 
In a long run, we want to make MIREX a platform for researchers to share their latest research results, to compare their systems with others, and to promote the development of the field.
  
==MIREX 2024 Evaluation Tasks==
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==MIREX 2024 Task Descriptions==
  
We will start with a small set of tasks and will expand the list based on the community's feedback. We also welcome volunteers for task leaders. The following tasks are currently planned for MIREX 2024:
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We will start with a small set of tasks and will expand the list based on the community's feedback. We also welcome volunteers for task captains (TC). The following tasks are currently planned for MIREX 2024:
  
 
Traditional MIR tasks
 
Traditional MIR tasks
  
* [[2024:Audio Chord Estimation]] <TC: Junyan Jiang>
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* [[2024:Audio Chord Estimation]] <TC: Junyan Jiang jj2731@nyu.edu>
* [[2024:Lyrics-to-Audio Alignment]] <TC: Junyan Jiang>
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* [[2024:Lyrics-to-Audio Alignment]] <TC: Junyan Jiang jj2731@nyu.edu>
* [[2024:Cover Song Identification]] <TC: Ruibin Yuan>
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* [[2024:Cover Song Identification]] <TC: Ruibin Yuan ruibiny@andrew.cmu.edu>
  
 
Modern MIR tasks
 
Modern MIR tasks
  
* [[2024:Symbolic Music Generation]] <TC: Ziyu Wang>
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* [[2024:Symbolic Music Generation]] <TC: Ziyu Wang ziyu.wang@nyu.edu>
* [[2024:Music Audio Generation]] <TC: Ruibin Yuan>
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* [[2024:Music Audio Generation]] <TC: Ruibin Yuan ruibiny@andrew.cmu.edu>
* [[2024:Music Description & Captioning]] <TC: Yixiao Zhang>
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* [[2024:Music Description & Captioning]] <TC: Yixiao Zhang yixiao.zhang@qmul.ac.uk>
* [[2024:Polyphonic Transcription]] <TC: Yujia Yan & Ziyu Wang>
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* [[2024:Polyphonic Transcription]] <TC: Yujia Yan & Ziyu Wang ziyu.wang@nyu.edu>
* [[2024:Singing Voice Deepfake Detection]] <TC: Neil Zhang & Yixiao Zhang>
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* [[2024:Singing Voice Deepfake Detection]] <TC: Neil Zhang & Yixiao Zhang yixiao.zhang@qmul.ac.uk>
 
 
We also invite proposals for new challenges in MIR. For details, see [[2024:Call for Challenges]].
 
  
 
==Call for Challenges==
 
==Call for Challenges==
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Starting from MIREX 2024, we invite proposals for challenges addressing new research problems from the ISMIR community. These challenges should aim to push the boundaries of current research and foster innovation within the field of music information retrieval.
 
Starting from MIREX 2024, we invite proposals for challenges addressing new research problems from the ISMIR community. These challenges should aim to push the boundaries of current research and foster innovation within the field of music information retrieval.
  
For the format and requirements for the challenge proposal, please go to [[2024:Call for Challenges]].
+
For the format and requirements for the challenge proposal, please go to [[2024:Call for Challenges]]. This year's call for challenge winner is the singing voice deepfake detection proposal, which has been added to the task list.
 
 
==Call for Task Captains==
 
 
 
The call for task captains has not been opened this year since MIREX is running with limited scalability. It will be opened next year.
 
  
 
==How to Participate==
 
==How to Participate==
  
* Read the task descriptions and the submission guidelines (coming soon).
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* Read the [[Participant Agreement]] and the [[Submission Guidelines]] carefully. Then, read the task description of the task(s) you are interested in.
* Wrap your system in a Docker container. Required dependencies should be specified in the Dockerfile. Make sure to keep the I/O format consistent with the task description.
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* Program your system. For some tasks, a docker image is required for submission. See the submission guideline.
 
* Write a 2-3 page extended abstract PDF describing your system.
 
* Write a 2-3 page extended abstract PDF describing your system.
* Submit your system and the extended abstract to the new submission portal (coming soon).
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* Submit your system and the extended abstract to the [http://futuremirex.com/portal/ new submission portal].
* Notice that some tasks will use external submission systems like Kaggle or email submission this year. Please refer to the task description for details.
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* Top-rated teams will be presenting their MIREX posters alongside the LBD session at ISMIR2024. (details will follow)
  
 
==Important Dates==
 
==Important Dates==
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==Contact Us==
 
==Contact Us==
  
Since we are adapting MIREX to a new format, we welcome any feedback, suggestions, and task leader volunteers. Please send your email to [mailto:future-mirex@googlegroups.com future-mirex@googlegroups.com].
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For general questions, feedback, and suggestions, please send messages to our mailing list future-mirex@googlegroups.com. For task-specific inquiries, please email individual task captain, or post a question in the [http://futuremirex.com/portal/ submission portal] forum.
  
 
We are looking forward to seeing you at MIREX 2024!
 
We are looking forward to seeing you at MIREX 2024!

Revision as of 01:37, 15 September 2024

Welcome to MIREX 2024

After a break of 3 years, we want to bring back the MIREX (Music Information Retrieval Evaluation eXchange) competition starting from 2024. We want to bring in new tasks, benchmarks, and datasets in response to the rapid development of computer music research.

The MIREX community will hold its annual meeting as part of The International Society for Music Information Retrieval Conference. This year, the conference will be held in San Francisco, CA, USA and online from November 10–14, 2024.

In a long run, we want to make MIREX a platform for researchers to share their latest research results, to compare their systems with others, and to promote the development of the field.

MIREX 2024 Task Descriptions

We will start with a small set of tasks and will expand the list based on the community's feedback. We also welcome volunteers for task captains (TC). The following tasks are currently planned for MIREX 2024:

Traditional MIR tasks

Modern MIR tasks

Call for Challenges

Starting from MIREX 2024, we invite proposals for challenges addressing new research problems from the ISMIR community. These challenges should aim to push the boundaries of current research and foster innovation within the field of music information retrieval.

For the format and requirements for the challenge proposal, please go to 2024:Call for Challenges. This year's call for challenge winner is the singing voice deepfake detection proposal, which has been added to the task list.

How to Participate

  • Read the Participant Agreement and the Submission Guidelines carefully. Then, read the task description of the task(s) you are interested in.
  • Program your system. For some tasks, a docker image is required for submission. See the submission guideline.
  • Write a 2-3 page extended abstract PDF describing your system.
  • Submit your system and the extended abstract to the new submission portal.
  • Top-rated teams will be presenting their MIREX posters alongside the LBD session at ISMIR2024. (details will follow)

Important Dates

  • Challenge proposals due: August 7, 2024
  • Notification of acceptance for challenge proposals: August 14, 2024
  • Submission open: September 15, 2024
  • Submission close: around October 15, 2024 (different tasks may vary, see task descriptions for details)
  • Result published: around October 21, 2024 (different tasks may vary, see task descriptions for details)

Contact Us

For general questions, feedback, and suggestions, please send messages to our mailing list future-mirex@googlegroups.com. For task-specific inquiries, please email individual task captain, or post a question in the submission portal forum.

We are looking forward to seeing you at MIREX 2024!

Future MIREX Team, 2024

MIREX 2024 Organizers:

  • Junyan Jiang, New York University.
  • Akira Maezawa, Yamaha
  • Ziyu Wang, New York University
  • Yixiao Zhang, Queen Mary University
  • Ruibin Yuan, Hong Kong University of Science and Technology
  • J. Stephen Downie, University of Illinois
  • Gus Xia, MBZUAI.