add support for microtonal MIDI (floating point pitch values) in music_makers

install external libraries for sound playback

!pip install -q pretty_midi
!pip install -q pyfluidsynth
!apt-get -qq update
!apt-get -qq install -y libfluidsynth1

consider a setup function...

write a custom extractor so we dont extract redundant features AND you can start from 0 not this off by frameSize/2 business.

In pitches = [60, 60.5, 60] the last note 60 will sound as 60.5 b/c pitch bend is not adjusted on microtones=0 which is not OK when mixing ints and floats in a list of pitches.

plot function for make_music_heterophonic

replace np.linspace with scipy interpolate for curves

add them

To solve this issue, go to nn.py and change from keras.optimizers import SGD to from keras.optimizers import gradient_descent_v2. And then in line 20 and 45, change SGD(...) to gradient_descent_v2.SGD(...).

a pipedream

find a way to get the lecture sequence into the notebook 4.4

essentia framecutter starts from -frameSize/2 which makes conversions from frames to sample tricky, especially when rearranging audio (like by ascending spectral centroid) and re-analyzing.

Removed music notation support because linux setup is too slow. Specifically, the two requirements below take about a minute.

!apt-get -qq install -y libfluidsynth1
!apt-get -qq install -y lilypond

And then don't forget to
%load_ext abjadext.ipython
but that's not a bottleneck...

using trnzscrybe + abjad

music_maker with multiple instruments

I was playing around with this library recently using jupyter notebook locally through vscode and encountered this issue where mai.synths and the other functions were not properly installed after pip install mai . To fix this issue, I had to download a copy of this repo and drag and drop all the .py files to the locally installed directory. Ex: C:\Users\Austin\AppData\Local\Programs\Python\Python37\Lib\site-packages\mai\

This issue doesn't seem to occur on google colab.