Hivemind: if I have the frequency data for mic input, what's the best way to filter out background noise? (trying to do pitch detection)
-
-
@increpare Compute autocorrelation within the windows, treat the peaks in autocorrelation as candidate pitches, then you find the best track -
@sparsevector never come across the concept of autocorrelation before, I like the idea of it! - 1 more reply
New conversation -
-
-
@increpare From my brief time looking at pitch tracking, this seemed to be sort of the benchmark software: http://www.fon.hum.uva.nl/praat/Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
@increpare And this is the paper describing the pitch tracking algorithm: http://www.fon.hum.uva.nl/paul/papers/Proceedings_1993.pdf …Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
@increpare The paper is is possibly hard to follow if you don't have a signal processing background, but basically you window the data...Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
@increpare among the candidate pitches (this is sort of smoothing out the pitch track and preventing octave errors)Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
@increpare That's my very rough understanding at least :) I never actually coded that method, just mucked around with the output of it.Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
@increpare Also, I think the software / algorithms in those links are not for tracking in real time. Things get more complicated in then.Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.