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c-rnn-gan-samples
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Music sampled from C-RNN-GAN.
Download README (.md)
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c-rnn-gan-samples
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# Data generated with C-RNN-GAN Supplemental data for “C-RNN-GAN: Generative adversarial training of sequence models with continuous data”. Music generated by the model. ## File list * sample11.[mid] - Original filenameout-20161208-deep_large_d_generate_meta_large_random_inputs_3tpc-18-2016-12-09-17-06-07.mid - Feature matching, freezing, 3 tones per RNN cell, larger D (500 hidden units, LSTM depth 3), generate metadata - 18 epochs training * sample10.[mid,mp3] - Original filename: out-20161114-3tonespercell-freezing-82-2016-11-15-12-49-34 - Feature matching, freezing, 3 tones per RNN cell - 82 epochs training * sample09.[mid,mp3] - Original filename: out-20161107-rnn-gan-lr.1-featurematching-65-2016-11-07-16-43-04.mid - Feature matching - 65 epochs training * sample08.[mid,mp3] - Original filename: out-20161107-rnn-gan-lr.1-featurematching-52-2016-11-07-16-07-19.mid - Feature matching - 52 epochs training * sample07.[mid,mp3] - Original filename: out-20161107-rnn-gan-lr.1-featurematching-50-2016-11-07-16-01-40.mid - Feature matching - 50 epochs training * sample06.[mid,mp3] - Original filename: out-20161107-rnn-gan-lr.1-featurematching-40-2016-11-07-15-33-44.mid - Feature matching - 40 epochs training * sample05.[mid,mp3] - Original filename: out-20161107-rnn-gan-lr.1-featurematching-39-2016-11-07-15-30-11.mid - Feature matching - 39 epochs training * sample04.[mid,mp3] - Original filename: out-20161107-rnn-gan-lr.1-featurematching-29-2016-11-07-14-41-20.mid - Feature matching - 29 epochs training * sample03.[mid,mp3] - out-20161105-rnn-gan-lr.05-featurematching-108-2016-11-07-00-28-25 - Feature matching - 108 epochs training * sample02.[mid,mp3] - Original filename: out-20161105-rnn-gan-lr.05-featurematching-105-2016-11-07-00-20-17.mid - Feature matching - 105 epochs training * sample01.[mid,mp3] - Original filename: out-20161105-rnn-gan-lr.05-featurematching-103-2016-11-07-00-15-23 - Feature matching - 103 epochs training # Contact olof@mogren.one
