Gabriel Simões G. da Silva wrote:
My name is Gabriel Simões and right now I'm starting my master degree in
electrical engineering, specializing in dsp and audio dsp.
I'm doing a Masters in computers science and music, so it's a highly
related field. I don't know what you mean by "partitures", though.
Automatic transcription is an interesting area; the general workflow is:
- partition audio into individual voices
- segment monophonic sound files into duration data. (generally you
quantize and round off values here; a sound that is 1000.3 ms long
probably intended to be 1000 ms if you have 60 BPM)
- detect the pitch during each duration (again, you can round off
values. If somebody is playing Western classical music and plays a
frequency of 441 Hz, you can be certain that they intended to play 440 Hz)
- output list of pitches and durations.
- (optional) translate pitches and durations into Western score notation
If you begin with a monophonic signal, then it's not too hard --
although as you note, there are many details to take care of. I'm
currently working on the segmentation phase for query-by-humming instead
of transcription, but it's the same problem.
I'd like to know if the lilypond community have interest in this project, and
if yes, what should I consider ? including this into lilypond source or
developing a 3rd party tool?
3rd party tool. Translating pitch/duration data into lilypond is a
trivial task compared to the other parts.
Cheers,
- Graham
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