Comment on AudioFlux: A C/C++ library for audio and music analysisComments−jcelerier2yIt would be nice to have a comparison with any of the many C++ MIR (music information retrieval) libraries in the wild:- https://essentia.upf.edu/- https://github.com/marsyas/marsyas- https://github.com/ircam-ismm/pipo- https://github.com/flucoma/flucoma-core/tree/main/include/al...−BrannonKing2yIf a person wanted to transcribe sheet music from recorded audio, do you know which library and features would be the best starting point?−cpdomina2yFor MIDI:https://github.com/Music-and-Culture-Technology-Lab/omnizart and https://basicpitch.spotify.com/They work better if you apply some source separation before (e.g, https://github.com/sigsep/open-unmix-pytorch, https://github.com/facebookresearch/demucs, or https://mvsep.com)Still, I think the best results are from proprietary models (specifically https://www.ableton.com/en/manual/converting-audio-to-midi/ and https://www.celemony.com/en/melodyne/what-is-melodyne)−bravura2yI have had mixed luck with this model, which is supposedly state-of-the-art: https://github.com/magenta/mt3What kind of music are you trying to transcribe?Feel free to email me.−bckr2yStart with source separation using demucs−Foobar85682yPersonally it's more converting scans of old music sheets to proper ones I am looking for, I haven't seen anything working properly.−adrianh2yTry our newish music scanning feature at Soundslice:https://www.soundslice.com/sheet-music-scanner/−atoav2yCheck out librosa as well
Comments
It would be nice to have a comparison with any of the many C++ MIR (music information retrieval) libraries in the wild:
- https://essentia.upf.edu/
- https://github.com/marsyas/marsyas
- https://github.com/ircam-ismm/pipo
- https://github.com/flucoma/flucoma-core/tree/main/include/al...
If a person wanted to transcribe sheet music from recorded audio, do you know which library and features would be the best starting point?
For MIDI:
https://github.com/Music-and-Culture-Technology-Lab/omnizart and https://basicpitch.spotify.com/
They work better if you apply some source separation before (e.g, https://github.com/sigsep/open-unmix-pytorch, https://github.com/facebookresearch/demucs, or https://mvsep.com)
Still, I think the best results are from proprietary models (specifically https://www.ableton.com/en/manual/converting-audio-to-midi/ and https://www.celemony.com/en/melodyne/what-is-melodyne)
I have had mixed luck with this model, which is supposedly state-of-the-art: https://github.com/magenta/mt3
What kind of music are you trying to transcribe?
Feel free to email me.
Start with source separation using demucs
Personally it's more converting scans of old music sheets to proper ones I am looking for, I haven't seen anything working properly.
Try our newish music scanning feature at Soundslice:
https://www.soundslice.com/sheet-music-scanner/
Check out librosa as well