Le Thu, 25 Apr 2024 11:45:20 +0200, Fons Adriaensen <[email protected]> a écrit :
> Hello all, Hello Fons, > The basic method is to look at the autocorrelation > of the signal. This is a measure of how similar a > signal is to a time-shifted version of itself. It > can be computed efficiently as the inverse FFT of > the power spectrum. <snip> > This a test of the pitch detection algorithm used in > zita-at1. > > The X-axis is time in seconds, a new pitch estimate is > made every 10.667 ms (512 samples at 48 kHz). > > Vertically we have autocorrelation, the Y-axis is in > samples. Red is positive, blue negative. The green dots > are the detected pitch period, zero means unvoiced. > The blue line on top is signal level in dB. From the start of a note, do You know how long it takes, or how much periods of the signal it takes, in order to get the pitch? Best, Dominique _______________________________________________ Linux-audio-dev mailing list -- [email protected] To unsubscribe send an email to [email protected]
