{ "id": 61970, "title": "Academic publication(s) about this competition", "url": "/competitions/freesound-audio-tagging/discussion/61970", "author_name": "", "post_date": "2018-07-25T17:12:56.927650400Z", "votes": null, "comment_count": 1, "views": 0, "content": "

Hi all,

\n\n

We intend to publish at least one (and maybe two) academic papers related to this competition.

\n\n

(1) The first one will be submitted to the DCASE Workshop, and it describes the competition (the task, the dataset and the baseline). The goal of this publication is that participants can cite it when referring to details of the task, dataset, baseline, etc.

\n\n

The paper is now available in Arxiv. If you are participating to this competition or using the dataset or baseline code please cite the following paper:

\n\n
\n

Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis,\n Xavier Favory, Jordi Pons, Xavier Serra. General-purpose Tagging of\n Freesound Audio with AudioSet Labels: Task Description, Dataset, and\n Baseline. Submitted to DCASE2018 Workshop, 2018. URL:\n https://arxiv.org/abs/1807.09902

\n
\n\n

You can also consider citing the Freesound datasets platform, that was used to build the FSDKaggle2018 dataset:

\n\n
\n

Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry\n Bogdanov, Andrés Ferraro, Sergio Oramas, Alastair Porter, and Xavier\n Serra. Freesound datasets: a platform for the creation of open audio\n datasets. In Proceedings of the 18th International Society for Music\n Information Retrieval Conference (ISMIR 2017), pp 486-493. Suzhou,\n China, 2017.

\n
\n\n


\n(2) A potential second publication would happen after the competition is concluded and it would be a review of the competition, including an analysis of the results, the major trends used in the competition, etc. For this, it is important that we have reports describing the systems and meta-information files to facilitate us the extraction of the most important information. If you'd like us to include your methodology and results in the competition review, there are two options:

\n\n\n\n

Thanks for your cooperation!

", "messages": [ { "id": "362097", "postDate": "07/25/2018 17:12:56", "content": "

Hi all,

\n\n

We intend to publish at least one (and maybe two) academic papers related to this competition.

\n\n

(1) The first one will be submitted to the DCASE Workshop, and it describes the competition (the task, the dataset and the baseline). The goal of this publication is that participants can cite it when referring to details of the task, dataset, baseline, etc.

\n\n

The paper is now available in Arxiv. If you are participating to this competition or using the dataset or baseline code please cite the following paper:

\n\n
\n

Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis,\n Xavier Favory, Jordi Pons, Xavier Serra. General-purpose Tagging of\n Freesound Audio with AudioSet Labels: Task Description, Dataset, and\n Baseline. Submitted to DCASE2018 Workshop, 2018. URL:\n https://arxiv.org/abs/1807.09902

\n
\n\n

You can also consider citing the Freesound datasets platform, that was used to build the FSDKaggle2018 dataset:

\n\n
\n

Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry\n Bogdanov, Andrés Ferraro, Sergio Oramas, Alastair Porter, and Xavier\n Serra. Freesound datasets: a platform for the creation of open audio\n datasets. In Proceedings of the 18th International Society for Music\n Information Retrieval Conference (ISMIR 2017), pp 486-493. Suzhou,\n China, 2017.

\n
\n\n


\n(2) A potential second publication would happen after the competition is concluded and it would be a review of the competition, including an analysis of the results, the major trends used in the competition, etc. For this, it is important that we have reports describing the systems and meta-information files to facilitate us the extraction of the most important information. If you'd like us to include your methodology and results in the competition review, there are two options:

\n\n\n\n

Thanks for your cooperation!

", "rawMarkdown": "Hi all, \n\nWe intend to publish at least one (and maybe two) academic papers related to this competition.\n\n**(1)** The first one will be submitted to the DCASE Workshop, and it describes the competition (the task, the dataset and the baseline). The goal of this publication is that participants can cite it when referring to details of the task, dataset, baseline, etc. \n\nThe paper is now available in Arxiv. If you are participating to this competition or using the dataset or baseline code please cite the following paper:\n\n> Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis,\n> Xavier Favory, Jordi Pons, Xavier Serra. *General-purpose Tagging of\n> Freesound Audio with AudioSet Labels: Task Description, Dataset, and\n> Baseline*. Submitted to DCASE2018 Workshop, 2018. URL:\n> https://arxiv.org/abs/1807.09902\n\nYou can also consider citing the Freesound datasets platform, that was used to build the FSDKaggle2018 dataset: \n\n> Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry\n> Bogdanov, Andrés Ferraro, Sergio Oramas, Alastair Porter, and Xavier\n> Serra. *Freesound datasets: a platform for the creation of open audio\n> datasets*. In Proceedings of the 18th International Society for Music\n> Information Retrieval Conference (ISMIR 2017), pp 486-493. Suzhou,\n> China, 2017.\n\n
\n**(2)** A potential second publication would happen after the competition is concluded and it would be a review of the competition, including an analysis of the results, the major trends used in the competition, etc. For this, it is important that we have **reports** describing the systems **and meta-information files** to facilitate us the extraction of the most important information. If you'd like us to include your methodology and results in the competition review, there are two options:\n\n- Submit a technical report (or Workshop paper) and a meta-information file through DCASE submission system, as specified in [this thread][1]. **We strongly encourage this option** as it benefits the research community and it is a way to disseminate your work and get further academic reputation. \n\n- Alternatively, you can submit a write-up through Kaggle, and fill this form: \nhttps://goo.gl/forms/H6NkZV07p7HIqKXz2 \n\nThanks for your cooperation!\n\n [1]: https://www.kaggle.com/c/freesound-audio-tagging/discussion/59933", "votes": null }, { "id": "362927", "postDate": "07/27/2018 12:05:54", "content": "

Hi all, the DCASE Workshop paper describing the competition is now available in Arxiv: https://arxiv.org/abs/1807.09902

\n\n

If you are participating to this competition or using the dataset or baseline code please cite it. Find the citation information in the previous post.

\n\n

thanks!

", "rawMarkdown": "Hi all, the DCASE Workshop paper describing the competition is now available in Arxiv: https://arxiv.org/abs/1807.09902 \n\nIf you are participating to this competition or using the dataset or baseline code please cite it. Find the citation information in the [previous post][1].\n\nthanks!\n\n\n [1]: https://www.kaggle.com/c/freesound-audio-tagging/discussion/61970#", "votes": null } ], "comments": [ { "id": 362927, "author_name": "eduardofonseca", "author_url": "", "post_date": "07/27/2018 12:05:54", "content": "

Hi all, the DCASE Workshop paper describing the competition is now available in Arxiv: https://arxiv.org/abs/1807.09902

\n\n

If you are participating to this competition or using the dataset or baseline code please cite it. Find the citation information in the previous post.

\n\n

thanks!

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "362097": "Hi all, \n\nWe intend to publish at least one (and maybe two) academic papers related to this competition.\n\n**(1)** The first one will be submitted to the DCASE Workshop, and it describes the competition (the task, the dataset and the baseline). The goal of this publication is that participants can cite it when referring to details of the task, dataset, baseline, etc. \n\nThe paper is now available in Arxiv. If you are participating to this competition or using the dataset or baseline code please cite the following paper:\n\n> Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis,\n> Xavier Favory, Jordi Pons, Xavier Serra. *General-purpose Tagging of\n> Freesound Audio with AudioSet Labels: Task Description, Dataset, and\n> Baseline*. Submitted to DCASE2018 Workshop, 2018. URL:\n> https://arxiv.org/abs/1807.09902\n\nYou can also consider citing the Freesound datasets platform, that was used to build the FSDKaggle2018 dataset: \n\n> Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry\n> Bogdanov, Andrés Ferraro, Sergio Oramas, Alastair Porter, and Xavier\n> Serra. *Freesound datasets: a platform for the creation of open audio\n> datasets*. In Proceedings of the 18th International Society for Music\n> Information Retrieval Conference (ISMIR 2017), pp 486-493. Suzhou,\n> China, 2017.\n\n
\n**(2)** A potential second publication would happen after the competition is concluded and it would be a review of the competition, including an analysis of the results, the major trends used in the competition, etc. For this, it is important that we have **reports** describing the systems **and meta-information files** to facilitate us the extraction of the most important information. If you'd like us to include your methodology and results in the competition review, there are two options:\n\n- Submit a technical report (or Workshop paper) and a meta-information file through DCASE submission system, as specified in [this thread][1]. **We strongly encourage this option** as it benefits the research community and it is a way to disseminate your work and get further academic reputation. \n\n- Alternatively, you can submit a write-up through Kaggle, and fill this form: \nhttps://goo.gl/forms/H6NkZV07p7HIqKXz2 \n\nThanks for your cooperation!\n\n [1]: https://www.kaggle.com/c/freesound-audio-tagging/discussion/59933", "362927": "Hi all, the DCASE Workshop paper describing the competition is now available in Arxiv: https://arxiv.org/abs/1807.09902 \n\nIf you are participating to this competition or using the dataset or baseline code please cite it. Find the citation information in the [previous post][1].\n\nthanks!\n\n\n [1]: https://www.kaggle.com/c/freesound-audio-tagging/discussion/61970#" }, "source": "meta" }