Well, I found that rectifying the signal before aubio pitch detection improves the result. This is because the time resolution is divided by 2 and due to uncertainity the frequency resolution is doubled. Furthermore the input is lowpassed at 6khz to reduce the effect plektrum and nail picking, which generate high frequencies. I assume that some better (freq-dependent) rectifying procedure could split the harmonic structure of the strings further apart in freq-domain, that is making the time/freq-resolution frequency dependent: low frequencies<->high freq resolution high frequencies<-> low freq res. this could be achieved, i believe with wavelets. Thats the first step. Following step: Now imagine the frequencies as being samples in frequency domain: The samplingrate is a function the frequency, and get this function from the wavelets in the first step. With the Constant-Q-Transformation, one could map this function to a constant function, and thus the frequency domain to a domain in which all harmonic combs have equal distances between their partials, but different locations. It should be easy then to locate the combes, then do the inverse Constant-Q to get the fundamentals.
..but its probably b*** sh** ;) Gerald On 25.04.2015 05:13, Tim E. Real wrote: > For FFT to distinguish among notes it needs a certain amount of > samples in a block. More samples per block for lower notes. > On guitar it was just sorta kinda usable, but fun. _______________________________________________ Linux-audio-dev mailing list [email protected] http://lists.linuxaudio.org/listinfo/linux-audio-dev
