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I was scrolling through the available datasets here and found out that the Robbie Williams dataset is not available. The annotations can be found in http://ispg.deib.polimi.it/mir-software.html . These are in a .txt file format containing three columns: starting time, duration, and chord name.
Is there a script that allows me to convert a .txt file with the structure above to a JAMS file format ??
Any help would be highly appreciated.
Thanks in advance, and with best regards
H.F
The text was updated successfully, but these errors were encountered:
You can find JAMS parsers for several datasets here https://github.com/marl/jams-data/tree/master/parsers
I'm not familiar with the Robbie Williams dataset, but we should write a new parser for it and put it there. Feel free to submit a PR if you have time to do it yourself :)
note, I'm pretty sure most of these parses are out of date with respect to the latest JAMS API, so in all likelihood you'll have to write a new parser.
note, I'm pretty sure most of these parses are out of date with respect to the latest JAMS API, so in all likelihood you'll have to write a new parser.
That's exactly what I've thought! Alrighty! I have to first familiarize myself with the new JAMS API in order to write a new parser. Nevertheless, I think a parser that parses ."txt" files and converts them to proper "new" JAMS format is valuable and as you've mentioned before since most of these parsers are out of date, it's not a bad idea to modify them so they are in accordance with the latest JAMS API.
Hi there,
I was scrolling through the available datasets here and found out that the Robbie Williams dataset is not available. The annotations can be found in http://ispg.deib.polimi.it/mir-software.html . These are in a .txt file format containing three columns: starting time, duration, and chord name.
Is there a script that allows me to convert a .txt file with the structure above to a JAMS file format ??
Any help would be highly appreciated.
Thanks in advance, and with best regards
H.F
The text was updated successfully, but these errors were encountered: