PitchFilter¶

standard mode | Pitch category

Inputs¶

pitch (vector_real) - vector of pitch values for the input frames [Hz]

pitchConfidence (vector_real) - vector of pitch confidence values for the input frames

Outputs¶

pitchFiltered (vector_real) - vector of corrected pitch values [Hz]

Parameters¶

confidenceThreshold (integer ∈ [0, ∞), default = 36) :
ratio between the average confidence of the most confident chunk and the minimum allowed average confidence of a chunk

minChunkSize (integer ∈ [0, ∞), default = 30) :
minumum number of frames in non-zero pitch chunks

useAbsolutePitchConfidence (bool ∈ {true, false}, default = false) :
treat negative pitch confidence values as positive (use with melodia guessUnvoiced=True)

Description¶

This algorithm corrects the fundamental frequency estimations for a sequence of frames given pitch values together with their confidence values. In particular, it removes non-confident parts and spurious jumps in pitch and applies octave corrections.

They can be computed with the PitchYinFFT, PitchYin, or PredominantPitchMelodia algorithms. If you use PredominantPitchMelodia with guessUnvoiced=True, set useAbsolutePitchConfidence=True.

The algorithm can be used for any type of monophonic and heterophonic music.

The original algorithm [1] was proposed to be used for Makam music and employs signal”energy” of frames instead of pitch confidence.

References:: [1] B. Bozkurt, “An Automatic Pitch Analysis Method for Turkish Maqam Music,” Journal of New Music Research. 37(1), 1-13.

Source code¶

C++ source code

C++ header file