

Alternatively, you can use the ctrl-e hotkey to export and immediately exit. Arrow keys to select parts to map, enter to bring up a dialog with a number input corresponding to MIDI tracks from track graph on right, click (yes, with your mouse) the export button, then esc or q to exit.$ blob-opera-midi song.mid -i or $ blob-opera-midi song.mid -interactive.

If your MIDI is not in track order or you want to preview the track assignments: If your MIDI file is already exactly 4 tracks in SATB order:
#HOW TO MAKE SONGS IN BLOB OPERA INSTALL#
$ npm install -g blob-opera-midi Usage Converting the MIDI file
#HOW TO MAKE SONGS IN BLOB OPERA MANUAL#
Mouse control is imprecise and only affects one voice at a time with no manual harmony.

The musical toy can be controlled by dragging the blobs with your mouse or, if you have one connected, a MIDI input device like a keyboard or sequencer. It's definitely worth playing with the Blob Opera before using this tool. Backgroundīlob Opera is a "machine learning experiment by David Li in collaboration with Google Arts & Culture", allowing users to " own opera inspired song with Blob Opera - no music skills required".

Find them the next time you search on Google for winter holidays like "Hanukkah," "Christmas" and "Kwanzaa.Quick and dirty tool to convert 4-part MIDI arrangments to Blob Opera format JSON. Google Arts & Culture has also created holiday-themed virtual colouring books. The creative holiday fun doesn’t end there. But no worries if you’re feeling a bit too shy to compose: You can also have the Blobs put on a festive performance while you sit back and enjoy classics like “Jingle Bells” and “O Holy Night.” The blobs respond and harmonise to your input in real time. The resulting experiment allows you to play Blob Opera, altering pitch & vowel sounds to create your own composition. In the experiment you don’t hear their voices, but rather the machine learning model’s understanding of what opera singing sounds like, based on what it learned from the opera singers. Tenor, Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney recorded many hours of singing. We developed a machine learning model trained on the voices of four opera singers in order to create an engaging experiment for everyone, regardless of musical skills. This experiment pays tribute to and explores the original musical instrument: the voice.
