Is there anything like this for images? Meaning essentially trying to decompose back into photoshop layers. Wouldn't be feasible for lots of stuff that is completely opaquely covering something, but I'm thinking for things like recoloring a screen print, etc.
Spleeter: Extract voice, piano, drums, etc. from any music track
11–20 of 182 posts
Re: Spleeter: Extract voice, piano, drums, etc. from any music track
#12Is the paper, "Spleeter: A Fast And State-of-the Art Music Source Separation Tool With Pre-trained Models", available yet? What is the methodology?
Re: Spleeter: Extract voice, piano, drums, etc. from any music track
#13Can someone provide a demo link of source music vs. output?
I gave it a test using the project audio sample. Neat stuff. https://soundcloud.com/thomas-roderick-836298141/sets/spleet...
Re: Spleeter: Extract voice, piano, drums, etc. from any music track
#14Are there any examples I can listen to?
I gave it a quick test using their audio sample file:
https://soundcloud.com/thomas-roderick-836298141/sets/spleet...
Re: Spleeter: Extract voice, piano, drums, etc. from any music track
#15Gave this a go, it's an easy install with pip, and results are pretty quick even on an old macbook. Splits into 2stems (vocals/accompaniment) on some random songs I chose actually quite good using the pretrained models provided. Of course, ripping the vocals out of the accompaniment takes out a good chunk of the middle frequencies so some songs sound a bit wonky.
Worth a play if you are interested.
Re: Spleeter: Extract voice, piano, drums, etc. from any music track
#16Can someone provide a demo link of source music vs. output?
I gave it a test using the project audio sample. Neat stuff. https://soundcloud.com/thomas-roderick-836298141/sets/spleet...
Holy shit that works way better than I expected. The github project should link to this or a similar example, the technical description doesn't do it justice.
Re: Spleeter: Extract voice, piano, drums, etc. from any music track
#17Gave this a go, it's an easy install with pip, and results are pretty quick even on an old macbook. Splits into 2stems (vocals/accompaniment) on some random songs I chose actually quite good using the pretrained models provided. Of course, ripping the vocals out of the accompaniment takes out a good chunk of the middle frequencies so some songs sound a bit wonky. Worth a play if you are interested.
Same thoughts here. I ran Thriller, Alligator by Of Monsters and Men, and In Hell I'll be in Good Company by The Dead South on the 2 / 5 / 4 stems, respectively. Impressive results. Definitely agree that some of the middle frequencies show some error.
It would be really cool to create "music mappers"/life sounds tracks like what you can do with pictures & art styles (e.g. https://medium.com/tensorflow/neural-style-transfer-creating...)
Re: Spleeter: Extract voice, piano, drums, etc. from any music track
#18Earlier quoted context omitted.
I gave it a test using the project audio sample. Neat stuff. https://soundcloud.com/thomas-roderick-836298141/sets/spleet...
Holy shit that works way better than I expected. The github project should link to this or a similar example, the technical description doesn't do it justice.
Yeah the fact that it got the reverb in the vocal track is pretty impressive!
Re: Spleeter: Extract voice, piano, drums, etc. from any music track
#19Gave this a go, it's an easy install with pip, and results are pretty quick even on an old macbook. Splits into 2stems (vocals/accompaniment) on some random songs I chose actually quite good using the pretrained models provided. Of course, ripping the vocals out of the accompaniment takes out a good chunk of the middle frequencies so some songs sound a bit wonky. Worth a play if you are interested.
Same thoughts here. I ran Thriller , Alligator by Of Monsters and Men, and In Hell I'll be in Good Company by The Dead South on the 2 / 5 / 4 stems, respectively. Impressive results. Definitely agree that some of the middle frequencies show some error. It would be really cool to create "music mappers"/life sounds tracks like what you can do with pictures & art styles (e.g. https://medium.com/tensorflow/neural-style-t…
known nothing about the results, i suspect that mid-ranges are poorer mainly because human frequency response is most sensitive towards mid-range aka vocal-pitch frequency
Re: Spleeter: Extract voice, piano, drums, etc. from any music track
#20Are there any examples I can listen to?
I set up a Colab notebook to try spleeter out for myself. You can try picking up your favorite mp3, renaming it to "audio_sample.mp3", uploading it to the Colab, and spining all the cells on the notebook. Enjoy.
https://colab.research.google.com/gist/tomo-makes/33b9bc7f22...