5 ms·
I believe the first company to create a very successful cloud based DAW will have the greatest opportunity to vacuum up this data. If producers were pushing rea
by lwansbrough 8y ago
I believe the first company to create a very successful cloud based DAW will have the greatest opportunity to vacuum up this data. If producers were pushing real original music source data into your neural network, you basically eliminate the need to do any sort of waveform analysis. Everything turns into discrete numbers, which neural networks are really good at managing vs. the destructive noise of common music files. (120BPM music could conceivably be 2 inputs per second vs. 44100)
Edit: As a matter of fact, you don't even need a whole DAW, really. You just need to be able to read existing DAW files and give users a reason to upload them.
- jerrre 8y agoI think a lot of DAW work is still done with wave-data not note data...
- igotsideas 8y agoAre you talking about the creation of Music or gathering the data of the Music for ML purposes?
- gcb0 8y agoyou are assuming every music out of a DAW is good.
- fenomas 8y agoConverting sounds to numbers is certainly nontrivial, but the "ML-for-music" projects I've seen were generally already working with MIDI. I think the deeper problem is that musical structure that's obvious to the listener (chord progressions, modulations etc.) are realistically going to vary too much across the training data for any ML approach to figure out.
- scjody 8y agoblend.io seem to be on the right track towards giving people a reason to upload their music.