Like song writing preferences, this means that the system will need to look for more advanced scale or modes data that commonly occur in the song. However, there are certain genres such as blues or jazz that can deviate strongly from the music theory.
MUSE KNIGHTS OF CYDONIA HOW TO
Once again, professional musicians can ignore these elements when working out how to play a song, something that AI can quite often misunderstand. Knights of Cydonia is honestly their most popular song next to Supermassive Black Hole, but either way it's awesome. Perhaps the additional notes can unexpectedly change cadence to the song or the entire key signature could change. Ironically the human element can be the biggest impact on the accuracy! Musicians generally stick to the music theory but there's quite often notes misplaced or added based on artistic principles. What other factors can affect results beyond the discovered notes? At which case, the system will then average out for the more likely result. Too many notes on the other hand is equally difficult and will result in too many possible predictions. Some of these factors are true of professional musicians too but humans can 'feel' correctness through ear training. If the system is unable to detect many notes, then it is least likely to make a likely prediction. The sample set of notes can determine how likely of a correct decision is made. How does the system determine level of accuracy? It also detects the best suited root note so further predict the mode.
How did the system arrive at this decision?īesides checking what notes are heard in the song, it also checks for repetition and patterns associated with chords and scales.