File:Alexander Graham Bell sings Auld Lang Syne (AI COVER).webm
Original file (WebM audio/video file, VP9/Opus, length 2 min 22 s, 720 × 720 pixels, 450 kbps overall, file size: 7.6 MB)
Captions
Summary[edit]
DescriptionAlexander Graham Bell sings Auld Lang Syne (AI COVER).webm |
English: Happy New Year!
Follow me on X, I also post covers there: https://x.com/VoxArtificialis/ Vocals were generated with Retrieval-based-Voice-Conversion-WebUI, the same software was used for separating the instrumental track. Image was generated with DALLE-3, the future is now. Since all voice recordings of Alexander Graham Bell and the 1910 recording of Auld Lang Syne originally sung by Frank C. Stanley are in the public domain, as are all AI generated images, I release this video into the public domain under the CC0 license. Enjoy! |
Date | |
Source | YouTube: Alexander Graham Bell sings Auld Lang Syne [AI COVER] – View/save archived versions on archive.org and archive.today |
Author | Vox Artificialis |
Licensing[edit]
As per the original description on YouTube, the video as a whole was released under the following license:
This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. | |
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
http://creativecommons.org/publicdomain/zero/1.0/deed.enCC0Creative Commons Zero, Public Domain Dedicationfalsefalse |
Whereas the image, generated with DALLE-3, thus having no human author, and possibly the audio as well would fall under the following license:
Public domainPublic domainfalsefalse |
This file is in the public domain because it is the work of a computer algorithm or artificial intelligence and does not contain sufficient human authorship to support a copyright claim.
The United Kingdom provides a limited term of copyright protection for computer-generated works of 50 years from creation. [1]
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Legal disclaimer Most image-generating AI models were trained using works that are protected by copyright. In some cases, such models can produce images that contain major copyrightable elements of those copyrighted training images, making these outputs derivative works. Accordingly, there is a risk that AI-generated art uploaded on Commons may violate the rights of the authors of the original works. See Commons:AI-generated media for additional details. azərbaycanca ∙ Deutsch ∙ English ∙ español ∙ français ∙ galego ∙ हिन्दी ∙ 日本語 ∙ русский ∙ Türkçe ∙ 中文 ∙ 中文(简体) ∙ 中文(繁體) ∙ +/− |
The audio is a derivative of 2 public domain works (Voice of Alexander Graham Bell and Auld Lang Syne by Frank C. Stanley) which are covered by the following license:
Public domainPublic domainfalsefalse |
Under the Classics Protection and Access Act (17 U.S.C. § 1401), this sound recording is in the public domain in the United States because it was published before January 1, 1924.
Public domain works must be out of copyright in both the United States and in the source country of the work in order to be hosted on the Commons. If the work is not a U.S. work, the file must have an additional copyright tag indicating the copyright status in the source country. PD-US-record-expiredPublic domain sound recording in the United States//commons.wikimedia.org/wiki/File:Alexander_Graham_Bell_sings_Auld_Lang_Syne_(AI_COVER).webm
Not all audio files are "sound recordings". Sounds accompanying a motion picture or other audiovisual work are not sound recordings under U.S. copyright law. Use this template's equivalent, {{PD-US-expired}}, for works that are not sound recordings.
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Public domainPublic domainfalsefalse |
This work is in the public domain in its country of origin and other countries and areas where the copyright term is the author's life plus 100 years or fewer. You must also include a United States public domain tag to indicate why this work is in the public domain in the United States. | |
This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. |
https://creativecommons.org/publicdomain/mark/1.0/PDMCreative Commons Public Domain Mark 1.0falsefalse
File history
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 23:53, 26 February 2024 | 2 min 22 s, 720 × 720 (7.6 MB) | Suspiciouscelery (talk | contribs) | Imported media from https://www.youtube.com/watch?v=q2y7C794QpU |
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File usage on Commons
The following page uses this file:
Transcode status
Update transcode statusFormat | Bitrate | Download | Status | Encode time |
---|---|---|---|---|
VP9 720P | 306 kbps | Download file | Completed 23:54, 26 February 2024 | 1 min 16 s |
Streaming 720p (VP9) | 223 kbps | Download file | Completed 23:54, 26 February 2024 | 1 min 8 s |
VP9 480P | 173 kbps | Download file | Completed 00:02, 27 February 2024 | 43 s |
Streaming 480p (VP9) | 90 kbps | Download file | Completed 00:01, 27 February 2024 | 41 s |
VP9 360P | 137 kbps | Download file | Completed 00:01, 27 February 2024 | 42 s |
Streaming 360p (VP9) | 56 kbps | Download file | Completed 00:00, 27 February 2024 | 41 s |
VP9 240P | 111 kbps | Download file | Completed 23:59, 26 February 2024 | 25 s |
Streaming 240p (VP9) | 28 kbps | Download file | Completed 23:59, 26 February 2024 | 23 s |
WebM 360P | 362 kbps | Download file | Completed 00:01, 27 February 2024 | 31 s |
Streaming 144p (MJPEG) | 840 kbps | Download file | Completed 23:58, 26 February 2024 | 7.0 s |
Stereo (Opus) | 82 kbps | Download file | Completed 00:01, 27 February 2024 | 4.0 s |
Stereo (MP3) | 128 kbps | Download file | Completed 00:01, 27 February 2024 | 4.0 s |
Metadata
This file contains additional information such as Exif metadata which may have been added by the digital camera, scanner, or software program used to create or digitize it. If the file has been modified from its original state, some details such as the timestamp may not fully reflect those of the original file. The timestamp is only as accurate as the clock in the camera, and it may be completely wrong.
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