File:Alexander Graham Bell sings Auld Lang Syne (AI COVER).webm

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Original file(WebM audio/video file, VP9/Opus, length 2 min 22 s, 720 × 720 pixels, 450 kbps overall, file size: 7.6 MB)

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Summary[edit]

Description
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:

Creative Commons CC-Zero 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.

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 domain
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]
AI derivative works 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.

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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 domain
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.
Public domain

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.

File history

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Date/TimeThumbnailDimensionsUserComment
current23:53, 26 February 20242 min 22 s, 720 × 720 (7.6 MB)Suspiciouscelery (talk | contribs)Imported media from https://www.youtube.com/watch?v=q2y7C794QpU

The following page uses this file:

Transcode status

Update transcode status
FormatBitrateDownloadStatusEncode time
VP9 720P306 kbps
Download file
Completed 23:54, 26 February 20241 min 16 s
Streaming 720p (VP9)223 kbps
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Completed 23:54, 26 February 20241 min 8 s
VP9 480P173 kbps
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Completed 00:02, 27 February 202443 s
Streaming 480p (VP9)90 kbps
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Completed 00:01, 27 February 202441 s
VP9 360P137 kbps
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Completed 00:01, 27 February 202442 s
Streaming 360p (VP9)56 kbps
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Completed 00:00, 27 February 202441 s
VP9 240P111 kbps
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Completed 23:59, 26 February 202425 s
Streaming 240p (VP9)28 kbps
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Completed 23:59, 26 February 202423 s
WebM 360P362 kbps
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Completed 00:01, 27 February 202431 s
Streaming 144p (MJPEG)840 kbps
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Completed 23:58, 26 February 20247.0 s
Stereo (Opus)82 kbps
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Completed 00:01, 27 February 20244.0 s
Stereo (MP3)128 kbps
Download file
Completed 00:01, 27 February 20244.0 s

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