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So, I'm not an expert in music nor signal processing, but : on some of the vocal separation examples, we can hear the rythmed instruments in the background. Wou
by antpls 8y ago
So, I'm not an expert in music nor signal processing, but : on some of the vocal separation examples, we can hear the rythmed instruments in the background. Would it not be easy to detect those instruments and remove them from the data? It's not like those are random noises, they are predictable signals. Is it a limitation of using neural networks, or is the problem harder than it looks?
- EADGBE 8y agoI believe "remove vocal" algorithms already implemented rely mostly on the pitch and tonal spectrum of the voice. For your example, what would be done when vocals sync up with rhythm instruments (straight 1/8's or 1/4 notes played on guitar, sung as well). Happens all the time, often only a bar at a time, but sometimes longer. e.g. The Strokes - Last Nite (https://youtu.be/TOypSnKFHrE?t=62 https://youtu.be/TOypSnKFHrE?t=62) @1:03 "they don't under-stand" (repeated) could trick the detection into thinking it's some sort of rhythm instrument. My point is, all music is extremely rhythmic and requires everything else in the band to be rhythmic as well.