Comments (4)
Default dataset is the Bach Chorales dataset obtained from music21 by corpus.getBachChorales function.
For the moment, create the 'datasets/raw_dataset' folders in DeepBach folder. Calling the program should preprocess, pickle and save the Bach Chorales dataset at location BACH_DATASET
Pickled datasets as well as pretrained models will be available soon
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I couldn't find the Bach Chorales dataset from music21. Do you have the links?
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Please see function music21.corpus.getBachChorales(fileExtensions='xml')
http://web.mit.edu/music21/doc/moduleReference/moduleCorpus.html
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Note that the pre-trained model and pre-processed dataset is already available for download:
See the README. Get it from Dropbox manually or have it downloaded/extracted by a script:
./download_pretrained_data.sh
Since pre-processing all the chorales from music21 takes about an hour this might be good for a quick start.
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Related Issues (20)
- follow up on the youtube video last year HOT 7
- 352 MIDI chorales after discarding voice divisions HOT 2
- Datasets in dataset_cache HOT 3
- Training epochs HOT 2
- Fixing soprano part at generation time HOT 2
- ModuleNotFoundError: No module named 'torch' HOT 1
- File is not a valid MusicXML file - DeepBach using MuseScore HOT 1
- Help installing on Musescore2/win10
- Error when running server HOT 1
- TypeError: can only concatenate str (not "Specifier") to str
- The tailor generation is not working HOT 2
- Usage with NONOTO HOT 1
- Error on pieces with length > 32seconds HOT 2
- How to train or test the model with a new dataset HOT 1
- withdraw
- Code not implementing HOT 2
- Installation section deprecated HOT 1
- Issue running musescore_flask_server.py HOT 5
- Can't Install Using the Anaconda Instructions in the README
- Packages (using OSX) HOT 1
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