F0 (autocorr. method) method

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F0-Detection using autocorrelation. The algorithm in detail described in BOERSMA, Paul (1993): Accurate Short-Term Analysis of the Fundamental Frequency and the Harmonics-To-Noise Ratio of a Sampled Sound. Proceedings of the IFA. Vol 17. pp 97-110. The result is the parameter function F0B(t) which can be saved in the project.

V2 method f0 autocorr.png

minimum pitch, maximum pitch
The lower and upper pitch boundaries in Hertz.
periods per window
The number of periods per analysis window.
max. number of candidates
The maximum number of autocorrelation candidates for every frame. Note that the number of F0-candidates (including voiceless candidate) is computed for every frame.
silence threshold
The value for the computation of the strengths of F0-candidates.
voicing threshold
The value for the computation of the strengths of F0-candidates.
octave cost
The value for the computation of the strengths of F0-candidates.
octave jump cost
The value for the computation of the strengths of F0-candidates.
voiced-unvoiced cost
The value for the computation of the strengths of f0-candidates.
interpolate
Check this box if samples should be parabolically interpolated for higher precision.
calculate jitter and shimmer
Check this box if jitter and shimmer should be calculated.
The following parameters are only available if calculate jitter and shimmer is enabled.
expert parameters
Check this box if you want to set the expert jitter and shimmer parameters.
period percentage
The factor by which two periods are allowed to vary. The default is 0.5.
max corr. candidates
The maximum number of correlation candidates to consider. The default is 10.
global peak percentage
The threshold value for detection of extrema (extrema are detected in relation to the global extremum). The default is 0.1.