{ "id": 230118, "title": "How to work on sound?", "url": "/competitions/birdclef-2021/discussion/230118", "author_name": "", "post_date": "2021-04-02T03:32:55.072394Z", "votes": 8, "comment_count": 7, "views": 0, "content": "

I have never worked on sound in deep learning models. Can anyone help how to extract features? Any article will be helpful too. Thanks

", "messages": [ { "id": "1260352", "postDate": "04/02/2021 03:32:55", "content": "

I have never worked on sound in deep learning models. Can anyone help how to extract features? Any article will be helpful too. Thanks

", "rawMarkdown": "I have never worked on sound in deep learning models. Can anyone help how to extract features? Any article will be helpful too. Thanks", "votes": null }, { "id": "1260546", "postDate": "04/02/2021 08:08:51", "content": "

Start with the librosa library: https://librosa.org/doc/latest/index.html
\nThere are examples and tutorials there.

", "rawMarkdown": "Start with the librosa library: https://librosa.org/doc/latest/index.html\nThere are examples and tutorials there.", "votes": null }, { "id": "1260592", "postDate": "04/02/2021 08:46:07", "content": "

We have a tutorial notebook that covers the extraction of features from audio data, let us know if you have any other questions.

", "rawMarkdown": "We have a [tutorial notebook](https://www.kaggle.com/stefankahl/birdclef2021-processing-audio-data) that covers the extraction of features from audio data, let us know if you have any other questions.", "votes": null }, { "id": "1261103", "postDate": "04/02/2021 17:39:00", "content": "

If you prefer, you may want to look at \"The nuts and bolts of Sound feature Engg\" which covers concepts from Zero to advanced - explained with a simple kernel - https://www.kaggle.com/allohvk/the-nuts-and-bolts-of-sound-feature-engineering

", "rawMarkdown": "If you prefer, you may want to look at \"The nuts and bolts of Sound feature Engg\" which covers concepts from Zero to advanced - explained with a simple kernel - https://www.kaggle.com/allohvk/the-nuts-and-bolts-of-sound-feature-engineering", "votes": null }, { "id": "1261953", "postDate": "04/03/2021 16:02:18", "content": "

Thanks. It’s helpful.

", "rawMarkdown": "Thanks. It’s helpful.", "votes": null }, { "id": "1261955", "postDate": "04/03/2021 16:02:53", "content": "

Thank you host. Thanks for the notebook. Really really helpful.

", "rawMarkdown": "Thank you host. Thanks for the notebook. Really really helpful.", "votes": null }, { "id": "1261956", "postDate": "04/03/2021 16:04:41", "content": "

Thank you for this library. Will start implementing soon.

", "rawMarkdown": "Thank you for this library. Will start implementing soon.", "votes": null }, { "id": "1261988", "postDate": "04/03/2021 16:50:41", "content": "

Thanks @ashvin864 if time permits I would do a short discussion writeup as well. This is a good comp and hope you will be participating :)

", "rawMarkdown": "Thanks @ashvin864 if time permits I would do a short discussion writeup as well. This is a good comp and hope you will be participating :)", "votes": null } ], "comments": [ { "id": 1260546, "author_name": "hekimgil", "author_url": "", "post_date": "04/02/2021 08:08:51", "content": "

Start with the librosa library: https://librosa.org/doc/latest/index.html
\nThere are examples and tutorials there.

", "votes": null, "replies": [ { "id": 1261956, "author_name": "ashvin864", "author_url": "", "post_date": "04/03/2021 16:04:41", "content": "

Thank you for this library. Will start implementing soon.

", "votes": null, "replies": [] } ] }, { "id": 1260592, "author_name": "stefankahl", "author_url": "", "post_date": "04/02/2021 08:46:07", "content": "

We have a tutorial notebook that covers the extraction of features from audio data, let us know if you have any other questions.

", "votes": null, "replies": [ { "id": 1261955, "author_name": "ashvin864", "author_url": "", "post_date": "04/03/2021 16:02:53", "content": "

Thank you host. Thanks for the notebook. Really really helpful.

", "votes": null, "replies": [] } ] }, { "id": 1261103, "author_name": "allohvk", "author_url": "", "post_date": "04/02/2021 17:39:00", "content": "

If you prefer, you may want to look at \"The nuts and bolts of Sound feature Engg\" which covers concepts from Zero to advanced - explained with a simple kernel - https://www.kaggle.com/allohvk/the-nuts-and-bolts-of-sound-feature-engineering

", "votes": null, "replies": [ { "id": 1261953, "author_name": "ashvin864", "author_url": "", "post_date": "04/03/2021 16:02:18", "content": "

Thanks. It’s helpful.

", "votes": null, "replies": [] }, { "id": 1261988, "author_name": "allohvk", "author_url": "", "post_date": "04/03/2021 16:50:41", "content": "

Thanks @ashvin864 if time permits I would do a short discussion writeup as well. This is a good comp and hope you will be participating :)

", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "1260352": "I have never worked on sound in deep learning models. Can anyone help how to extract features? Any article will be helpful too. Thanks", "1260546": "Start with the librosa library: https://librosa.org/doc/latest/index.html\nThere are examples and tutorials there.", "1260592": "We have a [tutorial notebook](https://www.kaggle.com/stefankahl/birdclef2021-processing-audio-data) that covers the extraction of features from audio data, let us know if you have any other questions.", "1261103": "If you prefer, you may want to look at \"The nuts and bolts of Sound feature Engg\" which covers concepts from Zero to advanced - explained with a simple kernel - https://www.kaggle.com/allohvk/the-nuts-and-bolts-of-sound-feature-engineering", "1261953": "Thanks. It’s helpful.", "1261955": "Thank you host. Thanks for the notebook. Really really helpful.", "1261956": "Thank you for this library. Will start implementing soon.", "1261988": "Thanks @ashvin864 if time permits I would do a short discussion writeup as well. This is a good comp and hope you will be participating :)" }, "source": "meta" }