Algorithm to determine fundamental frequency from potential harmonics

Question

I am attempting to extract a fundamental frequency from a sound source. maybe someone is singing A3 into the microphone, so I want to be detecting ~ 110Hz

my appr

Answer 1

You can go through following link for an article on speech recognition.

Article: Phase Space Point Disribution Parameter for Speech Recognition (subscription required for full text)

Answer 2

I have rephrased the question, and provided an answer here: How to take in a set of numbers like {301,102,99,202,198,103} and throw out ~100?

I had looked at several approaches, and this is considerably more succinct than anything else I've found. I have tested it and it works very well.

Answer 3

A Cepstum (or Cepstral analysis) and Harmonic Product Spectrum are two well studied algorithms that estimate the exciter frequency from an overtone series.

If the sequences of overtones are appropriately spaced, than a Cepstrum (FFT of the log of the FFT peaks) may be useful in estimating the period of the frequency spacing, which can then be used to estimate the frequency.

The Harmonic Product Spectrum basically compares the spectral peaks with nth multiple copies of themselves by decimating the spectrum by multiple low integer ratios and overlapping them.