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For the two drum loops above, how do the respective Fluctuation Patterns compare?
If we know that in a particular music piece, chords only change once per measure, how could we adapt the algorithm from the lecture accordingly?
In agent-based beat tracking, if we halve the size of the inner window, what are potential effects? (Select all that apply, if any.)
One team reported all onsets as beats. What will the evaluation find?
If we estimate the tempo from an IOI histogram, and the minimum tempo we want to support is 60 bpm, then what is the largest IOI we need to consider and include in the histogram, in seconds?
If, in the autocorrelation function of an onset detection function, we pick a wrong local maximum, what type of error will we often make?
Another team you talked to is very happy with their onset detection results on percussion, but it misses all violins. Out of the following methods, what did they probably choose?
Your teammate implemented an onset detector based on Spectral Flux with an STFT with a window size of 200ms and a hop size of 100ms. He is asking for an idea to improve results, sticking with Spectral Flux. What would you suggest?
In the DFT, we compare a signal excerpt to all sine and cosine templates with k full cycles within the excerpt, where k is an integer. Why don't we increase the frequency resolution by also using templates in between, such as k=3.5?
When we double the window length in the STFT, keeping the hop size the same, how does it change the appearance of the transient? (Select all that apply, if any.)