11–20 of 38 posts
See a master at work making original rolls at QRS. http://www.youtube.com/watch?v=i3FTaGwfXPM If was a fun place to see in the 70's after watching my father rebuild our player piano.
See a master at work making original rolls at QRS. http://www.youtube.com/watch?v=i3FTaGwfXPM If was a fun place to see in the 70's after watching my father rebuild our player piano.
def fourier_transform(signal, period, tt):
""" See http://en.wikipedia.org/wiki/Fourier_transform
How come Numpy and Scipy don't implement this ??? """
f = lambda func : (signal*func(2*pi*tt/period)).sum()
return f(cos)+ 1j*f(sin)
What you want is the power spectral density in the discrete case, called the power spectrum. It can be calculated by multiplying the discrete Fourier transform (FFT) with its conjugate, and shifting. NumPy can do it. Here is an example: http://stackoverflow.com/questions/15382076/plotting-power-s...
I love the abundance of Python. For those unaware, even the youtube-dl command line utility he used to download the video is written in Python.
See a master at work making original rolls at QRS. http://www.youtube.com/watch?v=i3FTaGwfXPM If was a fun place to see in the 70's after watching my father rebuild our player piano.
Interesting that they used computers to make them. It seems obvious in hindsight; player piano music is digital!
I love the abundance of Python. For those unaware, even the youtube-dl command line utility he used to download the video is written in Python.
Really fantastic hack. Now try transcribing with just the audio track.
That's a hard problem. If you have some material like that with a clear recording, the only good commercial solution that I know of is Melodyne, and he's not saying how he does it. In theory you just look for multiple peaks in the FFT, but this is much easier said than done.