slseanwu / jazz_transformer Goto Github PK

As I follow the instructions to compose music

I got this log output:

Start model inference...
2020-08-05 05:55:32.732437: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-08-05 05:55:33.762416: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
failed iterations: 1
failed iterations: 1
failed iterations: 2
failed iterations: 3
failed iterations: 4
failed iterations: 5
failed iterations: 6
failed iterations: 7
failed iterations: 8
failed iterations: 9
failed iterations: 10
failed iterations: 1
failed iterations: 1
failed iterations: 1
generated 6460 events
First 20 events: ['Part-Start_I', 'Rep-Start_1', 'Bar', 'Position_0/64', 'Tempo-Class_0', 'Tempo_67.50', 'Position_16/64', 'Tempo-Class_0', 'Tempo_65.00', 'Position_32/64', 'Tempo-Class_0', 'Tempo_67.50', 'Position_48/64', 'Tempo-Class_0', 'Tempo_62.50', 'Position_55/64', 'Phrase', 'MLU-Type_lick', 'MLU-Subtype_lick-general', 'Backref-Referred']

now converting events to MIDI: ./output/test.mid ...

It did generate midi file in output dir, but the file can't be played in normal player. It seems like the writing file stage makes something wrong ...

Hey guys,

Thank you for sharing your work. Looks very nice and promising.

I have a question: Is it possible to use your code/can you provide code to train on my own MIDI dataset. It seems that you are using proprietary format of the Jazz dataset so I can't try it on my own to evaluate your work and results.

I will really appreciate your help here.

Thank you.

First and foremost, @slSeanWU , thank you very much for releasing this project under the MIT license! 👍

To be honest, I am quite convinced that the output midi files that I'm getting from this project (using the pretrained model) are too quality+long to be true (considering all of my other attempts to generate decent jazz by the use of AI that were all a failure so far).
What I really mean, is that, due to the quality of the output, I suspect that there is some overfitting going on (or maybe I even completely omitted some important point/catch from the readme :D).

Having said that, my questions are:
1. Is it really spilling out the unique melodies?
2. Is there a relatively simple way to check for the uniqueness of the output melody against the dataset that was used in the training?

I would really appreciate your (or anyone else's) answer very much!

Could you provide the steps in which you used to extract the beat and melody csv files ?