My fast F0 analysis is done by bandpass filtering the time signal and then searching every voice period in the time signal using my unique method. By searching in the time signal, each voice period can be determined with high accuracy F0, and even small variations in the fundamental frequency can be seen.

My unique F0 algorithm also makes it possible to determine the jitter and the shimmer.

My F0 algorithm has been in use for 39 years since 1984 and has been running in real time on the NEC's µPD7720 signal processor since 1985, 38 years ago.

Who else would have done pitch analysis in Finland already on 1984, 39 years ago, and already on 1985 in real time?

My F0 analysis I have coded as a DSP man totally from zero to machine languages.

Analysis pictures I have coded from the very beginning in Neon object-oriented programming language.

Hz is converted to Bark by the formula x/Bark=7ln[f/650+√(1+(f/650)²)] and Barks are converted to Hz by the formula f/Hz=650sinh(x/7).

Hz is converted to ERBs by the formula x/ERB=21,3log₁₀(1+f/228,7) and ERBs are converted to Hz by the formula f/Hz=228,7(10^x/21,3-1).

Hz is converted to mel by the formula x/mel=2595log₁₀(1+f/700) and mels are converted to Hz by the formula f/Hz=700(10^x/2595-1).

Hz is converted to st by the formula x/st=57+12log₂(f/440) ja
St is converted to Hz by the formula f/Hz=440(2^(x-57)/12).