the algorithm that uses the dataset has a license of course, but that algorithm is software. if you draw a picture in Photoshop, the art produced does not inherit the Photoshop license.
if the algorithm is run on an online webhost, then the person hosting the algorithm can have their own Terms of Use that could conflict with licensing the generated works as open content even if you train a dataset using open content on their platform.
would be nice if we could get someone in the OGA community with good knowledge of python to team up, most of the ai algorithms i am familiar with use python....
without the consent of the recording artist (the voice that is being cloned) and without the recorded work (the actual audio files being used to clone the voice) being open content, i would say this falls under the same peril as other AI art. using a dataset that consists of copyrighted material is stealing. thats my opinion, courts haven't really decided yet how this will be treated.
for now, i would think that submitting voice clones made using a non-open-content dataset would be cause for a "files temporarily unavailable" flag on the asset.
with that said, creating an open content set of voice clones would be a great idea. it would be difficult but not impossible to find voiceover recording artists to sign off on their voices being cloned, because it would be a one-time-pay-me-now-then-i-am-obsolete type of deal.
do you know much about voice cloning ai, and how to train datasets? if so, i would encourage you to start a project looking for volunteer voiceover actors to record audio for the dataset. i imagine with some work you could create something that would be a worthwhile asset to indie devs and open source projects.
i tried doing some voice cloning on some of the cc0 voiceover assets submitted by Kenney, but with very poor results. you need quite a lot of recorded audio to get a good dataset.
i dont have a good microphone at the moment, but i could in the future get one. if we can come up with a standard script that would be good for training a dataset,. for voice actors to read that script, this could become a thing. i will do some research on voice cloning datasets, and see if we can come up with a script. then all we would need would be voice actors willing to participate under the terms that their voiceovers would be part of an open content dataset. i would be interested in participating in this project, but i would be an advocate for CC0 licensing and not -BY or -SA. the fewer restrictions there are on content the better it is for the world, in my opinion.
Thursday, July 20, 2023 - 06:22
"Generated by AI so it's a theft from other artists, so it's free."
while no truer statement has probably ever been made, this makes it not compatible with OGA's policies
great work as always. percy the dinosaur is my hands-down favorite.
boy these look really cool
what algorithm?
Wish I had a good mic. Me love vikings!
instant thought was
"hey, i remember lincoln logs!"
the song sounds good too, very tense
you should set the first preview to your audio file
otherwise it looks like you are submitting ai art instead of music with ai cover art to go with it
plus ppl want to preview your song b4 downloading
yeah the issue is the dataset for the most part
the algorithm that uses the dataset has a license of course, but that algorithm is software. if you draw a picture in Photoshop, the art produced does not inherit the Photoshop license.
if the algorithm is run on an online webhost, then the person hosting the algorithm can have their own Terms of Use that could conflict with licensing the generated works as open content even if you train a dataset using open content on their platform.
would be nice if we could get someone in the OGA community with good knowledge of python to team up, most of the ai algorithms i am familiar with use python....
without the consent of the recording artist (the voice that is being cloned) and without the recorded work (the actual audio files being used to clone the voice) being open content, i would say this falls under the same peril as other AI art. using a dataset that consists of copyrighted material is stealing. thats my opinion, courts haven't really decided yet how this will be treated.
for now, i would think that submitting voice clones made using a non-open-content dataset would be cause for a "files temporarily unavailable" flag on the asset.
with that said, creating an open content set of voice clones would be a great idea. it would be difficult but not impossible to find voiceover recording artists to sign off on their voices being cloned, because it would be a one-time-pay-me-now-then-i-am-obsolete type of deal.
do you know much about voice cloning ai, and how to train datasets? if so, i would encourage you to start a project looking for volunteer voiceover actors to record audio for the dataset. i imagine with some work you could create something that would be a worthwhile asset to indie devs and open source projects.
i tried doing some voice cloning on some of the cc0 voiceover assets submitted by Kenney, but with very poor results. you need quite a lot of recorded audio to get a good dataset.
i dont have a good microphone at the moment, but i could in the future get one. if we can come up with a standard script that would be good for training a dataset,. for voice actors to read that script, this could become a thing. i will do some research on voice cloning datasets, and see if we can come up with a script. then all we would need would be voice actors willing to participate under the terms that their voiceovers would be part of an open content dataset. i would be interested in participating in this project, but i would be an advocate for CC0 licensing and not -BY or -SA. the fewer restrictions there are on content the better it is for the world, in my opinion.
"Generated by AI so it's a theft from other artists, so it's free."
while no truer statement has probably ever been made, this makes it not compatible with OGA's policies
it is both, and that is awesome
actually, i would love to see more ascii art on this site. i love it, and i have never been good at making it
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