PitchYinProbabilitiesHMM¶

streaming mode | Pitch category

Inputs¶

pitchCandidates (vector_vector_real) - the pitch candidates

probabilities (vector_vector_real) - the pitch probabilities

Outputs¶

pitch (vector_real) - pitch frequencies in Hz

Parameters¶

minFrequency (real ∈ (0, ∞), default = 61.735) :
minimum detected frequency

numberBinsPerSemitone (integer ∈ (1, ∞), default = 5) :
number of bins per semitone

selfTransition (real ∈ (0, 1), default = 0.99) :
the self transition probabilities

yinTrust (real ∈ (0, 1), default = 0.5) :
the yin trust parameter

Description¶

This algorithm estimates the smoothed fundamental frequency given the pitch candidates and probabilities using hidden Markov models. It is a part of the implementation of the probabilistic Yin algorithm [1].

An exception is thrown if an empty signal is provided.

References:: [1] M. Mauch and S. Dixon, “pYIN: A Fundamental Frequency Estimator Using Probabilistic Threshold Distributions,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014)Project Report, 2004

Source code¶

C++ source code

C++ header file