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Bayesian Pitch Tracking Using Harmonic model in Python

A python re-write of the statistical pitch tracking algorithm propose in Robust bayesian pitch tracking based on the harmonic model based on original repo.

A fast non-linear f0 estimator, a statistical pitch tracker, and an unbiased noise estimator is presented.

Examples

Please check the ipynb example.

References

Fast fundamental frequency estimation: Making a statistically efficient estimator computationally efficient (Nielsen, Jesper Kjær; Jensen, Tobias Lindstrøm; Jensen, Jesper Rindom; Christensen, Mads Græsbøll; Jensen, Søren Holdt. In: Signal Processing, 135, 2017, pp. 188-197).

Bayesian Model Comparison With the g-Prior (Nielsen, Jesper Kjær; Christensen, Mads Græsbøll; Cemgil, Ali Taylan; Jensen, Søren Holdt. In: IEEE Transactions on Signal Processing, 62 (1), 2014, pp. 225-238).

Unbiased MMSE-Based Noise Power Estimation With Low Complexity and Low Tracking Delay(Gerkmann, T. & Hendriks, R. C. In; IEEE Trans Audio, Speech, Language Processing, 2012, 20, 1383-1393)

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