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The notes were done by Skybolt (DE) and me. Both timing and pitches feel pretty alright.

Link: https://u.pcloud.link/publink/show?code=kZCnVMXZGLsNIltzeKf6Q0PCcr51oR87dQ3V

para

Hiho,

I gave this song a try. It turned out pretty ok in my opinion.

Link: https://u.pcloud.link/publink/show?code=kZDj2ikZ7rSYmIQXHa8H7mRI7pHLtBg3SSIy


para

Hiho,

this is one of the first songs I have translated but never posted it because it is not exactly "family friendly". Maybe some of you like to add it to their personal database.

https://my.pcloud.com/publink/show?code=kZomBhkZU2GxtOzGOBBuYhYa0Sp3J4gCEWDk

para

Hiho,

I started translating this song a while ago but never got to finishing it.

Things that still need to be done are:
- inserting lyrics that aren't sung
- set golden nodes
- adjusting some pitches
- maybe reduce bpm

If someone feels like finishing it, you can find it here.
https://my.pcloud.com/publink/show?code=kZqQBhkZRfh5g7rfj04ijTxThr1m2yxvG3rk

Greetings
para

Hiho,

I wrote a Python script to help partially automatizing the process of setting the pitches in MLK note files. It is just a prove of concept to see if deep learning can be used to automatize the song creation. The script takes in a note.txt file which is already timed and returns a note.txt.new file with calculated pitches. The accuracy is on average about 75%. A Windows binary is available as well. For more details please refer to the git project site:

https://github.com/paradigmn/ultrastar_pitch

I am working to rewrite the project in order to make the code more clean and understandable and increase the accuracy as well. But that will take some time.

Maybe some of you find it useful to integrate this software into your workflow. If you have any question just massage me.

Best regards
para

Hi there,

I gave this song a try. It can be downloaded here: https://my.pcloud.com/publink/show?code=kZYXYU7ZJxF3zJdRpfLRW9hMUhMbqR9CxwiX
I'm quite happy, how it turned out, though I guess there is room for improvement. So some feedback would be appreciated.

Thanks
para