Bob L. T. Sturm

Hi all. You might want to try the pytorch implementation: https://github.com/boblsturm/folkplagiarism

Hello. You need to remove all the spaces before converting to staff notation, or converting to MIDI.

For those using Linux/Unix, do the following for converting the output of folk-rnn. First install the abctools (https://ifdo.ca/~seymour/runabc/abcguide/abc2midi_guide.html). You need abc2midi. Also install timidity. 1. Create a file with a...

Double jigs are in 6/8, but not all transcriptions in 6/8 are double jigs. The 365 double jigs in O'Neill's 1001 are here: http://www.norbeck.nu/abc/book/

Hello. - There are several versions of folk-rnn that we have created (see here: https://github.com/IraKorshunova/folk-rnn/tree/master/data). folk-rnn (v2) was trained on all of data_v2, which has 23,636 transcriptions. - folk-rnn (v2)...

Thanks Gwern. Yes, there are a few of the html lines left in the raw data. For our experiments with the tokenized transcriptions, we only add X: to generated transcriptions...

We don't want a model to waste resources learning about X: and other non-musical information, so we leave those things out. We use a simple script to render the model...

> Any model which is unable to learn that a field X: $RANDOM_INT is present in every entry with only trivial capacity is probably too simple-minded to be of much...

I posted a blog about some of these tunes! https://highnoongmt.wordpress.com/2019/10/28/machine-folk-from-gpt-2/

Great! Please post samples once the model has finished training and I can take a closer look. The "cleaned" data apparently still has a ways to go! Contributors to thesession.org...